# Helpfeel

> Helpfeel is an AI-powered self-service platform: scale reliable self-service and solve more customer needs with AI agents, intent-prediction search, and expert-optimized knowledge. This is Helpfeel's US marketing and demo-booking site.

Use these links for Helpfeel's product information, customer case studies, and knowledge-base guides. Only publicly indexable pages are listed; gated, paid, and draft pages are intentionally excluded.

## Main pages
- [Helpfeel: Home](https://en.helpfeel.com): Product overview and primary calls to action: scale reliable self-service and book a demo.
- [Helpfeel AI: Platform](https://en.helpfeel.com/platform): Helpfeel AI features, strengths, and solutions for scaling reliable self-service.
- [Keyline](https://en.helpfeel.com/keyline): 
- [AI Knowledge Management & Analytics](https://en.helpfeel.com/knowledge-base): A self-improving knowledge base: Helpfeel surfaces content gaps, drafts the missing answers for human review, and turns interactions into Voice of Customer insight.
- [Blog](https://en.helpfeel.com/blog): Articles and updates on self-service, support deflection, and knowledge management.
- [Knowledge base](https://en.helpfeel.com/knowledge): Evergreen guides on self-service, deflection, and containment metrics.
- [Docs](https://en.helpfeel.com/docs): 
- [Case studies](https://en.helpfeel.com/case-studies): Customer results and Helpfeel deployments.
- [About](https://en.helpfeel.com/about): 
- [Contact](https://en.helpfeel.com/contact): 

## Case studies
- [0.47-Point Drop in Inquiry Rate: How SpaceMarket Built a FAQ Users Actually Use: SpaceMarket Inc.](https://en.helpfeel.com/case-studies/0-47-point-drop-in-inquiry-rate-how-spacemarket-built-a-faq-users-actually-use): SpaceMarket cut inquiry rates 0.47 points and reduced self-resolvable contacts 2.3 points with data-driven content redesign and ongoing expert support.
- [1.2x Member Growth, Fewer Inquiries: How Mogumo Tripled Priority Subscriptions: Oxxx Inc. (Mogumo)](https://en.helpfeel.com/case-studies/1-2x-member-growth-fewer-inquiries-how-mogumo-tripled-priority-subscriptions): Mogumo scaled 1.2x while cutting response times and tripling high-value subscriptions, all without adding headcount.
- [1.4x Growth in One Year: Building an Internal FAQ to Scale 100+ Stores Without Adding Headquarters Staff: KOMEHYO Inc.](https://en.helpfeel.com/case-studies/1-4x-growth-in-one-year-building-an-internal-faq-to-scale-100-stores-without): KOMEHYO built a unified self-service FAQ for 1,100 employees, cutting repetitive inquiries across headquarters while opening 100+ stores.
- [1,800 Articles Serving 150 Branches: How Hokuriku Bank Built an AI Internal Helpdesk to Break Knowledge Silos: Hokuriku Bank, Ltd.](https://en.helpfeel.com/case-studies/1-800-articles-serving-150-branches-how-hokuriku-bank-built-an-ai-internal): Hokuriku Bank deployed Helpfeel as an AI-powered internal helpdesk, consolidating scattered knowledge across 150 branches and eliminating inquiry backlogs.
- [10,000 Inquiry Records Over 20 Years Transformed into Working Knowledge: KEM Removes the Burden from Veteran Engineers: Kyoto Electronics Manufacturing Inc.](https://en.helpfeel.com/case-studies/10-000-inquiry-records-over-20-years-transformed-into-working-knowledge-kem): How Kyoto Electronics Manufacturing turned 20 years of technical inquiry logs into a self-service FAQ that protects engineering time.
- [10% Call Answer Rate Increase at Hokuyo Bank: Service Expansion Without Adding Headcount: Hokuyo Bank, Ltd.](https://en.helpfeel.com/case-studies/10-call-answer-rate-increase-at-hokuyo-bank-service-expansion-without-adding): Hokuyo Bank improved call answer rates to over 90% and expanded digital services without increasing labor costs using Helpfeel's AI FAQ.
- [10% Higher Article Reach at 16 Million Accounts: Rakuten Bank's Online-First Support Strategy: Rakuten Bank, Ltd.](https://en.helpfeel.com/case-studies/10-higher-article-reach-at-16-million-accounts-rakuten-banks-online-first): Rakuten Bank improved article reach by 10% and cut no-hit searches to 3% with Helpfeel, driving self-service across 16 million accounts.
- [10x Growth in Product Page Traffic: How 2nd Street Connected Customer Support to Sales: GEO Holdings Inc. (2nd Street)](https://en.helpfeel.com/case-studies/10x-growth-in-product-page-traffic-how-2nd-street-connected-customer-support-to): GEO Holdings' 2nd Street brand transformed their FAQ into a revenue driver, increasing trade-in page traffic 10x while holding inquiries flat during rapid growth.
- [20,000 FAQ Sessions Per Month: Major Airline Avoids Inquiry Surge During Company-Wide Migration: Major Airline Group](https://en.helpfeel.com/case-studies/20-000-faq-sessions-per-month-major-airline-avoids-inquiry-surge-during-company): Major airline group deployed Helpfeel during Google Workspace migration, achieving 20k FAQ sessions/month and containing phone inquiry volume.
- [20% Fewer Calls as Membership Grows: How a Major Credit Card Company Scaled Support Through Self-Service: Major Credit Card Company](https://en.helpfeel.com/case-studies/20-fewer-calls-as-membership-grows-how-a-major-credit-card-company-scaled): A major credit card company cut call volume 20% despite rapid membership growth by transforming their FAQ into a self-service and marketing intelligence tool.
- [20% Fewer Inquiries Despite Growth: How a 200,000-Policy Insurer Scaled Support Without Adding Seats: Pet & Family Non-Life Insurance Inc.](https://en.helpfeel.com/case-studies/20-fewer-inquiries-despite-growth-how-a-200-000-policy-insurer-scaled-support): Pet & Family Non-Life Insurance cut inquiries 20% and call center costs 10% through LINE-integrated Helpfeel, even as their policyholder base grew.
- [20% More Customers Finding Answers: How a Regional Bank Put AI Search at the Center of Digital Service: Iyo Bank, Ltd.](https://en.helpfeel.com/case-studies/20-more-customers-finding-answers-how-a-regional-bank-put-ai-search-at-the): Iyo Bank replaced a legacy FAQ system with Helpfeel, improving page reach 20%, cutting 15 hours per month of operations, and scaling down from 3 to 2 FAQ staff.
- [25% Fewer Inquiries in One Month: How Persol Business Process Design Scaled Internal Support for 4,600 Employees: Persol Business Process Design Inc.](https://en.helpfeel.com/case-studies/25-fewer-inquiries-in-one-month-how-persol-business-process-design-scaled): Persol Business Process Design cut internal helpdesk inquiries 25% in one month with Helpfeel, lifting self-service and freeing the team to focus.
- [25% More Traffic with Job Seeker FAQs: How OpenUp IT Engineer Built a Data-Driven Recruitment Strategy: OpenUp IT Engineer Inc.](https://en.helpfeel.com/case-studies/25-more-traffic-with-job-seeker-faqs-how-openup-it-engineer-built-a-data-driven): OpenUp IT Engineer increased recruitment traffic 25% with Helpfeel FAQs, cutting recruiting costs and surfacing real job seeker concerns.
- [30% Fewer Inquiries at Peak: How Lawson Ticket Scaled Support for 500,000 Customers a Year: Lawson Entertainment Inc.](https://en.helpfeel.com/case-studies/30-fewer-inquiries-at-peak-how-lawson-ticket-scaled-support-for-500-000): Lawson Entertainment cut monthly email inquiries from 30,000 to 22,000 with Helpfeel's AI search, transforming response times and team morale.
- [30% Fewer Inquiries: How LUSH Japan Built Internal Knowledge for 1,000 Staff: LUSH Japan LLC](https://en.helpfeel.com/case-studies/30-fewer-inquiries-how-lush-japan-built-internal-knowledge-for-1-000-staff): LUSH Japan serves 77 stores and 1,000 employees with a 3-person IT team. Helpfeel cut register inquiries 30% and hit an 8% no-hit rate.
- [30% Fewer Inquiries: How S.RIDE Scaled 1.7x with Just One New Hire: S.RIDE Inc.](https://en.helpfeel.com/case-studies/30-fewer-inquiries-how-s-ride-scaled-1-7x-with-just-one-new-hire): S.RIDE taxi app cut inquiry rate 30% with Helpfeel, scaling downloads 1.7x while adding just one support team member.
- [30% Fewer Web Inquiries: How Noritz Earned Top Support Ratings Two Years Running: Noritz Corporation](https://en.helpfeel.com/case-studies/30-fewer-web-inquiries-how-noritz-earned-top-support-ratings-two-years-running): Noritz Corporation cut web inquiries 30% and doubled self-service at the inquiry form, earning top HDI-Japan ratings in Contact Center and Web Support.
- [40% Fewer Inquiries Despite Rising Orders: SOLIA Frees Time for Customer-Focused Work: SOLIA Inc.](https://en.helpfeel.com/case-studies/40-fewer-inquiries-despite-rising-orders-solia-frees-time-for-customer-focused): SOLIA cuts inquiries 40% while growing sales, dropping inquiry rate from 20% to 12% and freeing the team to focus on customer satisfaction.
- [40% Fewer Inquiries in One Month: How FiNC Technologies Scaled Health App Support: FiNC Technologies](https://en.helpfeel.com/case-studies/40-fewer-inquiries-in-one-month-how-finc-technologies-scaled-health-app-support): FiNC Technologies cut support inquiries 40% in one month with Helpfeel, improving response times from 3-4 days to same-day across three health apps.
- [40% Fewer Self-Resolvable Inquiries: How KOMEHYO Freed Support Teams to Focus on High-Value Customer Conversations: KOMEHYO Inc.](https://en.helpfeel.com/case-studies/40-fewer-self-resolvable-inquiries-how-komehyo-freed-support-teams-to-focus-on): KOMEHYO reduced EC support inquiries by 30-40% with Helpfeel, preserving human capacity for the detailed interactions luxury resale customers need.
- [42% Drop in Unnecessary Inquiries Despite 80% User Growth at MarmGarden Resort: Mom's Inc. (MarmGarden Resort Hayama)](https://en.helpfeel.com/case-studies/42-drop-in-unnecessary-inquiries-despite-80-user-growth-at-marmgarden-resort): MarmGarden Resort scaled postnatal care services 1.8x in year one while cutting FAQ-resolvable inquiries 42% with Helpfeel's AI search FAQ.
- [50% Better Search Results in One Week: How Raksul Scaled Customer Support Through Peak Season: Raksul Inc.](https://en.helpfeel.com/case-studies/50-better-search-results-in-one-week-how-raksul-scaled-customer-support-through): Raksul Inc. improved FAQ search hit rate by 50% in one week with Helpfeel, enabling the team to handle TV commercial surges without overwhelming support.
- [50% Search Adoption and 37% Lower Bounce Rates: How NICE TV Cut Support Load While Scaling Fiber Migration: Shinkawa Information Center Inc. (NICE TV)](https://en.helpfeel.com/case-studies/50-search-adoption-and-37-lower-bounce-rates-how-nice-tv-cut-support-load-while): Shinkawa Information Center (NICE TV) freed staff from 300 monthly phone calls to focus on fiber migration using Helpfeel's AI-powered FAQ.
- [60% Fewer Inquiries in One Month: How Karaoke Pasela Centralized National Support with Helpfeel: Newton Inc.](https://en.helpfeel.com/case-studies/60-fewer-inquiries-in-one-month-how-karaoke-pasela-centralized-national-support): Newton Inc. cut inquiries 60% while consolidating Karaoke Pasela's fragmented branch-by-branch support into a lean, centralized team.
- [7,000 Daily Inquiries Resolved: How Nagoya Scaled COVID-19 Vaccine Support Without Adding Headcount: City of Nagoya](https://en.helpfeel.com/case-studies/7-000-daily-inquiries-resolved-how-nagoya-scaled-covid-19-vaccine-support): City of Nagoya handled peak vaccine rollout demand with self-service, achieving the impact of 300 additional operators while maintaining 85% answer rates.
- [70% Fewer Inquiries: How NTT Data MSE Doubled Employee Adoption and Cut Helpdesk Workload with AI: NTT Data MSE Corporation](https://en.helpfeel.com/case-studies/70-fewer-inquiries-how-ntt-data-mse-doubled-employee-adoption-and-cut-helpdesk): NTT Data MSE doubled employee utilization to 60%+ and reduced inquiry workload by up to 70% with an AI-powered internal helpdesk serving 2,000 employees.
- [70+ Monthly Inquiries Prevented: How DAC's Internal Helpdesk Scaled Without Adding Headcount: Digital Advertising Consortium Inc.](https://en.helpfeel.com/case-studies/70-monthly-inquiries-prevented-how-dacs-internal-helpdesk-scaled-without-adding): Digital Advertising Consortium cut inquiries 70+ per month while serving 100+ more users, freeing their 5-person helpdesk to focus on complex issues.
- [70% Self-Resolution: How Ashikaga Bank Transformed Web Support with AI FAQ: Ashikaga Bank, Ltd.](https://en.helpfeel.com/case-studies/70-self-resolution-how-ashikaga-bank-transformed-web-support-with-ai-faq): Ashikaga Bank uses Helpfeel's AI FAQ to help 70% of inquiry form visitors self-resolve and cut 300 phone calls per month, scaling support 24/7.
- [700+ Pages Created: How Persol Tempstaff Built a Living BPO Knowledge Base with Helpfeel: Persol Tempstaff Inc.](https://en.helpfeel.com/case-studies/700-pages-created-how-persol-tempstaff-built-a-living-bpo-knowledge-base-with): Persol Tempstaff created 700+ knowledge pages and built a culture of collective expertise sharing across their BPO division with Helpfeel.
- [8,500 Hours Saved: How Life Card Built Smartphone-First Support for Gen Z: Life Card Inc.](https://en.helpfeel.com/case-studies/8-500-hours-saved-how-life-card-built-smartphone-first-support-for-gen-z): Life Card eliminated 8,500 hours of annual support work with Helpfeel's AI-powered FAQ, achieving 17× higher self-service for Gen Z customers.
- [80% Fewer Inquiries: How Kokusai Kogyo Scaled Solar Support Without Adding Headcount: Kokusai Kogyo Inc.](https://en.helpfeel.com/case-studies/80-fewer-inquiries-how-kokusai-kogyo-scaled-solar-support-without-adding): Kokusai Kogyo cut inquiries 80% and boosted revenue with AI-powered search that helped a 3-person team scale Enegaeru's solar panel consulting service.
- [80% Less Inquiry Workload: How Fujimak Unified 218 Engineers Across 70 Locations with AI Search: Fujimak Corporation](https://en.helpfeel.com/case-studies/80-less-inquiry-workload-how-fujimak-unified-218-engineers-across-70-locations): Fujimak cut inquiry handling by 80% and grew self-service 5x, freeing product experts to focus on development instead of phone tag.
- [80% of Users Found What They Needed: How Aiful Turned FAQ Reach into Customer Resolution: Aiful Corporation](https://en.helpfeel.com/case-studies/80-of-users-found-what-they-needed-how-aiful-turned-faq-reach-into-customer): Aiful Corporation scaled consumer finance support to 2,000 daily inquiries with an 80% FAQ reach rate and 3% no-hit rate, giving customers self-service that works.
- [84% Fewer Inquiries in 10 Months: How SOKUYAKU Cut Support Costs in Half: SOKUYAKU / Jay Frontier Inc.](https://en.helpfeel.com/case-studies/84-fewer-inquiries-in-10-months-how-sokuyaku-cut-support-costs-in-half): SOKUYAKU slashed inquiries by 84%, insourced their call center, and cut CS costs by 50% with Helpfeel's AI-powered FAQ and search.
- [85,000 New Users, Zero Increase in Inquiries: How Hokkaido Bank Scaled Digital Banking Without Scaling Support Calls: Hokkaido Bank, Ltd.](https://en.helpfeel.com/case-studies/85-000-new-users-zero-increase-in-inquiries-how-hokkaido-bank-scaled-digital): Hokkaido Bank added 85,000 app users in one year while keeping inquiry volume flat, shifting customers from phone to web self-service.
- [90% Fewer Human Inquiries: How Kirin Beer's Frontline Built an Internal Knowledge Hub with Helpfeel: Kirin Beer, Ltd.](https://en.helpfeel.com/case-studies/90-fewer-human-inquiries-how-kirin-beers-frontline-built-an-internal-knowledge): Kirin Beer cut human-handled inquiries by 90% and scaled to 20,000 monthly searches, transforming frontline support into digital operations.
- [90%+ Search Success Rate: How Aderans Turned FAQ Into a Psychological Safe Space: Aderans Inc.](https://en.helpfeel.com/case-studies/90-search-success-rate-how-aderans-turned-faq-into-a-psychological-safe-space): Aderans Inc. cut routine inquiries and achieved 90%+ search success with a self-service FAQ that meets customers where anxiety stops them from asking.
- [Call Abandonment Cut to 1% While Serving 60,000 Staff: Bears' Internal Helpdesk Success: Bears Inc.](https://en.helpfeel.com/case-studies/call-abandonment-cut-to-1-while-serving-60-000-staff-bears-internal-helpdesk): Bears Inc. reduced call abandonment to 1% and absorbed regional overflow without adding headcount using Helpfeel's internal helpdesk.
- [Call Center Abandonment Rate Cut from 15% to 2.5%: How Hokuriku Bank Built a Self-Service FAQ That Works Like Digital Customer Service: Hokuriku Bank, Ltd.](https://en.helpfeel.com/case-studies/call-center-abandonment-rate-cut-from-15-to-2-5-how-hokuriku-bank-built-a-self): Hokuriku Bank cut call abandonment from 15% to 2.5% and reduced inquiry volume with Helpfeel's AI search, turning their website into a working non-branch store.
- [Inquiry Rate Below 1% Despite 30% Growth: How Raccoon Financial Scaled Support with Search-First Self-Service: Raccoon Financial, Inc.](https://en.helpfeel.com/case-studies/inquiry-rate-below-1-despite-30-growth-how-raccoon-financial-scaled-support): Raccoon Financial grew its member base 30% while keeping inquiry rates below 1%, replacing category navigation with a search-first FAQ customers actually use.
- [Internal FAQ Usage Grew 5.2x in One Year: How PALTAC Reduced Inquiry Load with Self-Service: PALTAC Inc.](https://en.helpfeel.com/case-studies/internal-faq-usage-grew-5-2x-in-one-year-how-paltac-reduced-inquiry-load-with): PALTAC drove internal FAQ usage 5.2x in one year with self-service search, cutting routine inquiries and freeing IT staff to focus on complex issues.
- [Peak Season Phone Surge Cut to One-Eighth: Sompo Himawari Life Insurance Makes FAQ the Core of Non-Voice Support: SOMPO Himawari Life Insurance Inc.](https://en.helpfeel.com/case-studies/peak-season-phone-surge-cut-to-one-eighth-sompo-himawari-life-insurance-makes): SOMPO Himawari Life Insurance reduced peak season phone volume increases from 16% to 2%, positioning Helpfeel FAQ as the core of their non-voice strategy.
- [Phone Inquiries Drop as Online Accounts Grow: How Kirayaka Bank Scaled Digital Banking Without Scaling Support Staff: Kirayaka Bank, Ltd.](https://en.helpfeel.com/case-studies/phone-inquiries-drop-as-online-accounts-grow-how-kirayaka-bank-scaled-digital): Kirayaka Bank added 4,000 online accounts and ¥10B in deposits, yet total phone inquiries fell. Helpfeel delivered 24/7 self-service at scale.
- [Scaling to 90,000 Investors Without Adding Support Staff: How THEO Serves Investment Beginners: THEO / Ookane no Design, Inc.](https://en.helpfeel.com/case-studies/scaling-to-90-000-investors-without-adding-support-staff-how-theo-serves): THEO scaled to 90,000 investors and 60B yen in AUM with just 8 support operators, using Helpfeel to help investment beginners find answers fast.
- [Several Times the Normal User Volume, No Added Headcount: How Pococha's FAQ Survived the COVID-19 Surge: Pococha / DeNA Inc.](https://en.helpfeel.com/case-studies/several-times-the-normal-user-volume-no-added-headcount-how-pocochas-faq): DeNA's live-streaming app Pococha scaled support through COVID-19 demand without hiring. Users shared the FAQ on Twitter, calling it that useful.
- [Turnover Improved 2.7%, 60 Hours of Overtime Eliminated: How Nagai Hospital Transformed Operations with AI: Nagai Hospital](https://en.helpfeel.com/case-studies/turnover-improved-2-7-60-hours-of-overtime-eliminated-how-nagai-hospital): Nagai Hospital deployed Helpfeel as an internal helpdesk to support 500+ staff, cutting training workload, reducing HR overtime, and improving retention.
- [70% Fewer Inquiries at Peak Season: The CX Strategy Behind MUJI's Growth: MUJI (Ryohin Keikaku Inc.)](https://en.helpfeel.com/case-studies/70-fewer-inquiries-at-peak-season-the-cx-strategy-behind-mujis-growth): Inquiries cut 70% during peak months. Online active users grew to 150%+ year-over-year, with inquiry volume held flat.
- [A 40% Lift in Self-Resolution: Using FAQ Data to Make the Product Better: ROLLCAKE Inc.](https://en.helpfeel.com/case-studies/a-40-lift-in-self-resolution-using-faq-data-to-make-the-product-better): Self-resolution rate improved ~40% after implementation. No-hit rate reduced from ~6% to 2-3%. Response time cut from ~2 business days.
- [A 47% Drop in Inquiries (and 2 FTE of Savings) at a Femtech Subscription: mederi Inc.](https://en.helpfeel.com/case-studies/a-47-drop-in-inquiries-and-2-fte-of-savings-at-a-femtech-subscription): Inquiries reduced 47% within one year of deployment. Labor cost savings equivalent to 2 full-time employees. ~460,000 registered users.
- [A 61% Drop in Inquiries: Alpen's EC Growth Strategy: Alpen Inc.](https://en.helpfeel.com/case-studies/a-61-drop-in-inquiries-alpens-ec-growth-strategy): Web-form inquiries reduced 61%. Self-resolvable inquiries reduced 78%. Overall support operating costs reduced ~10%. Inquiry rate down 2 points.
- [A 95% Drop in Campaign Inquiries: Standing Up Support at a Fast-Growing Marketplace: Kauche Inc.](https://en.helpfeel.com/case-studies/a-95-drop-in-campaign-inquiries-standing-up-support-at-a-fast-growing): Campaign-related inquiries reduced from ~100 to 5-6 per campaign, about 95%. Response time cut from up to 5 business days to a fraction of that.
- [Efficient self-service at LIXIL: Leveraging VOC Data for Continuous Help Improvement: LIXIL, Inc.](https://en.helpfeel.com/case-studies/boosting-efficiency-at-lixil-with-helpfeel-leveraging-voc-for-continuous-improvement): LIXIL makes home fixtures such as toilets, bathrooms, and kitchens, as well as building materials. We talked to them about using Helpfeel and its impact.
- [Cancellation Inquiries Down 80%: Hamee's Search-Log-Driven EC Support Model: Hamee Inc.](https://en.helpfeel.com/case-studies/cancellation-inquiries-down-80-hamees-search-log-driven-ec-support-model): 40% self-resolution rate within one month of launch. Scaled through 4-5x sales growth with no added support headcount. Cancellation inquiries cut 80%.
- [Cutting Pandemic-Surge EC Inquiries in Half: Belluna Inc.](https://en.helpfeel.com/case-studies/cutting-pandemic-surge-ec-inquiries-in-half): Inquiries reduced 50% from pre-implementation levels. Inquiry rate (inquiries ÷ orders) down 2 points in the first month. Response time cut in half.
- [CX transformation: Self-service and sales via website achieving a 96% drop in call volume: Odakyu Travel / Odakyu Electric Railway, Inc.](https://en.helpfeel.com/case-studies/cx-transformation-self-service-achieving-a-96-drop-in-call-volume): Odakyu Electric Railway moved to online sales of travel products and decided to strengthen its help center. Learn how they reduced call volume by 96%.
- [From 15,000 Monthly Inquiries to Under Half: Moving From "Processing" to Experience: Jimoty Inc.](https://en.helpfeel.com/case-studies/from-15-000-monthly-inquiries-to-under-half-moving-from-processing-to-experience): Monthly inquiries reduced from a 15,000 peak to a 7,200 low, over 50%. Self-resolvable share of contacts fell from ~32% to ~20% in one year.
- [From 2,000 Inquiries a Month to Under 200: How a Streetwear Retailer Cut Contacts by 90%: B's International Inc.](https://en.helpfeel.com/case-studies/from-2-000-inquiries-a-month-to-under-200-how-a-streetwear-retailer-cut): Monthly inquiries reduced from a peak of 2,000 to under 200, less than one-tenth. First-contact resolution rate improved from the 70s to 90%.
- [LUSH's Ecommerce Contacts Decreased 10% in Four Months; Wrapping Paper Sales Increased 120%: LUSH Japan, Inc.](https://en.helpfeel.com/case-studies/lushs-ecommerce-contacts-decreased-10-in-four-months-wrapping-paper-sales-increased-120): Lush natural cosmetics wanted to reduce contacts even as sales increases. Helpfeel spoke with the Customer Care Manager about the changes after deployment.
- [Scaling to 4.7M Users With No Added Support Headcount: akippa Inc.](https://en.helpfeel.com/case-studies/scaling-to-4-7m-users-with-no-added-support-headcount): User base grew ~40% with no increase in support staffing. Inquiry rate fell from ~1.4% to below 1.0%. FAQ access rate rose from ~40% to over 70%.

## Knowledge base
- [AI Help Center: The Complete Guide](https://en.helpfeel.com/ai-help-center): An AI help center uses AI to surface answers, resolve customer questions, and cut support volume. Learn how it works, what to build, and how to measure it.
- [Why AI Support Gives Confident Wrong Answers](https://en.helpfeel.com/ai-help-center/why-ai-support-gives-wrong-answers): AI support is only as reliable as the knowledge it retrieves from. Here is why a weak foundation produces fluent, confident, wrong answers at scale.
- [AI Help Desk Software: Features, Evaluation, and Use Cases](https://en.helpfeel.com/ai-help-center/ai-help-desk-software): AI help desk software uses AI agents and automation to resolve support requests faster. Learn what to look for, how to evaluate platforms, and what it's built to do.
- [Conversational AI for Customer Service](https://en.helpfeel.com/ai-help-center/conversational-ai-for-customer-service): Conversational AI understands and answers customer questions in real time. Learn how it differs from chatbots and where it fits in your support stack.
- [Customer Self-Service: Definition, Benefits & How to Improve](https://en.helpfeel.com/ai-help-center/customer-self-service): Customer self-service lets people find answers on their own through knowledge bases and AI agents. Learn what works and how to raise your self-service rate.
- [Generative AI in Customer Service: Guide](https://en.helpfeel.com/ai-help-center/generative-ai-in-customer-service): Generative AI in customer service creates real-time, context-aware responses. Learn the use cases, risks like hallucination, and how knowledge bases ground it.
- [Self-Service Knowledge Base: The Complete Guide](https://en.helpfeel.com/ai-help-center/self-service-knowledge-base): A self-service knowledge base is a searchable collection of answers that lets customers resolve their own questions. Learn how to build one that actually works.
- [What Is an AI Help Center?](https://en.helpfeel.com/ai-help-center/what-is-an-ai-help-center): An AI help center is a self-service support platform that uses AI to surface relevant articles, answer questions, and resolve customer queries without a human agent.
- [Customer Service Software: The Complete Guide](https://en.helpfeel.com/customer-service-software): Customer service software manages customer interactions across billing, returns, orders, and support. Learn what it is, what to look for, and how it works.
- [Cloud-Based Customer Service Software](https://en.helpfeel.com/customer-service-software/cloud-based-customer-service-software): Cloud-based customer service software runs online with no servers to manage. Learn how cloud platforms scale faster and cost less than on-premise systems.
- [Customer Service Automation Software (2026 Guide)](https://en.helpfeel.com/customer-service-software/customer-service-automation-software): Customer service automation software handles routine inquiries using AI and workflows. Learn what to look for, how to evaluate tools, and what to automate first.
- [Customer Service Workflow Software: Complete Guide](https://en.helpfeel.com/customer-service-software/customer-service-workflow-software): Customer service workflow software routes inquiries and automates tasks. Learn how workflow automation reduces errors and improves resolution times.
- [Internal Help Desk Software: Complete Guide](https://en.helpfeel.com/customer-service-software/internal-help-desk-software): Internal help desk software handles employee IT requests, HR questions, and facilities issues. Learn what it does and how to choose the right platform.
- [Customer Support: The Complete Guide](https://en.helpfeel.com/customer-support): Customer support is the technical help that gets customers unstuck with your product. This guide covers how to automate it, scale it, and reduce repetitive volume.
- [Why Support Cost Scales With Volume](https://en.helpfeel.com/customer-support/why-support-cost-scales-with-volume): Support cost tends to rise in lockstep with contact volume because the unit of capacity is a person. Here is where that linear cost curve comes from.
- [The 5 Levels of AI Maturity in Customer Service](https://en.helpfeel.com/customer-support/ai-maturity-customer-service): A maturity model for AI in customer service, from Ticket Taker to Proactive Guide. Find your stage and the move that gets you to the next one.
- [AI Customer Support Agent: What It Is and How to Choose](https://en.helpfeel.com/customer-support/ai-customer-support-agent): An AI customer support agent answers customer questions in real time using your knowledge base. Learn how it works, what to look for, and how to deploy one.
- [AI Customer Support Software: What It Is & How to Choose](https://en.helpfeel.com/customer-support/ai-customer-support-software): AI customer support software uses AI agents and knowledge bases to resolve customer inquiries. Learn what to look for and how to evaluate platforms.
- [Customer Support KPIs: The 5 Metrics That Matter](https://en.helpfeel.com/customer-support/customer-support-kpis): Customer support KPIs show whether you serve customers quickly and sustainably. Track self-service rate, first response time, resolution time, and CSAT.
- [How to Automate Customer Support (Step-by-Step Guide)](https://en.helpfeel.com/customer-support/how-to-automate-customer-support): Customer support automation uses AI and knowledge bases to answer repetitive questions. Learn what to automate first and how to measure it.
- [How to Reduce Customer Support Tickets](https://en.helpfeel.com/customer-support/how-to-reduce-support-tickets): Reduce support tickets by finding the top repeat questions, fixing your knowledge base, and adding an AI agent at the front door. Here is the step-by-step approach.
- [How to Scale Customer Support Without Adding Headcount](https://en.helpfeel.com/customer-support/how-to-scale-customer-support): Scaling customer support means handling more volume without linearly adding headcount. Use self-service, knowledge base, AI agents, and tiering to grow.
- [Support Metrics & KPIs: The Complete Guide](https://en.helpfeel.com/customer-support-metrics-and-kpis): Support metrics and KPIs tell you whether your customer support is actually working. This guide covers the core metrics, how to calculate them, and what to track first.
- [Self-Service Rate vs. Deflection Rate vs. Containment Rate: A Strategic Guide](https://en.helpfeel.com/customer-support-metrics-and-kpis/self-service-deflection-containment-rates-knowledge-article): How self-service, deflection, and containment rates differ, where each is measured, and why high deflection without containment quietly erodes customer trust.
- [Containment Rate: The Complete Guide](https://en.helpfeel.com/customer-support-metrics-and-kpis/containment-rate-complete-guide): Containment rate is the truth-teller of support automation. Here is what it measures, benchmarks by technology and industry, and how to raise it without faking it.
- [Deflection Rate: The Complete Guide](https://en.helpfeel.com/customer-support-metrics-and-kpis/deflection-rate-complete-guide): What deflection rate measures, proven strategies that prevent tickets, industry benchmarks, and how to avoid the vanity-metric trap of deflecting without resolving.
- [How to Reduce Support Ticket Volume with Searchable Self-Service](https://en.helpfeel.com/customer-support-metrics-and-kpis/reduce-support-ticket-volume): An evergreen overview of ticket deflection: why searchable self-service cuts repeat support requests and how to start measuring it.
- [Self-Service Rate: The Complete Guide](https://en.helpfeel.com/customer-support-metrics-and-kpis/self-service-rate-complete-guide): What self-service rate measures, current industry benchmarks, how to calculate it three ways, and the strategies that move it from cost center to revenue driver.
- [CX Glossary: Customer Experience Terms Defined](https://en.helpfeel.com/glossary): A plain-language glossary of customer experience, support, and self-service terms. Clear definitions, formulas, and examples for every key CX metric and concept.
- [AI Agent](https://en.helpfeel.com/glossary/ai-agent): An AI agent is software that autonomously handles customer inquiries end-to-end, from understanding the question to taking action and providing an answer.
- [Average Handle Time](https://en.helpfeel.com/glossary/average-handle-time): Average Handle Time (AHT) is the total time an agent spends on a ticket, from first contact to final resolution. See the formula and what it measures.
- [Average Resolution Time](https://en.helpfeel.com/glossary/average-resolution-time): Average resolution time is the mean time it takes to fully resolve a customer issue, from initial contact to closure. See the formula and benchmarks.
- [Canned Response](https://en.helpfeel.com/glossary/canned-response): A canned response is a pre-written reply saved for reuse across support tickets. See how teams use them to answer common questions faster.
- [Chatbot](https://en.helpfeel.com/glossary/chatbot): A chatbot is an automated program that simulates conversation with users through text or voice. See how chatbots work and when to use them.
- [Contact Rate](https://en.helpfeel.com/glossary/contact-rate): Contact rate is the percentage of customers who contact support instead of resolving issues on their own. See the formula and what benchmarks to target.
- [Containment Rate](https://en.helpfeel.com/glossary/containment-rate): Containment rate is the percentage of customer issues fully resolved inside an automated system without escalation. See the formula and why it matters.
- [Conversational AI](https://en.helpfeel.com/glossary/conversational-ai): Conversational AI uses language models to understand and respond to customer questions in real time. See how it works and where it fits in support.
- [Cost Per Contact](https://en.helpfeel.com/glossary/cost-per-contact): Cost per contact is the average expense of handling one customer inquiry. Calculate it by dividing total support costs by number of contacts.
- [CSAT](https://en.helpfeel.com/glossary/csat): CSAT is a metric measuring customer satisfaction with a product, service, or interaction. See the formula, benchmarks, and why it matters.
- [Customer Effort Score](https://en.helpfeel.com/glossary/customer-effort-score): Customer Effort Score (CES) measures how easy customers find it to interact with your company. Lower effort drives loyalty and repeat business.
- [Customer Lifetime Value](https://en.helpfeel.com/glossary/customer-lifetime-value): Customer lifetime value is the total revenue a customer generates over their relationship with your company. Learn the formula and why it matters.
- [Customer Self-Service](https://en.helpfeel.com/glossary/customer-self-service): Customer self-service lets people find answers, solve issues, and complete tasks on their own using FAQs, help centers, and knowledge bases.
- [Customer Support vs Customer Service](https://en.helpfeel.com/glossary/customer-support-vs-customer-service): Customer support solves specific technical or product issues. Customer service covers the entire customer experience. Learn how they differ and overlap.
- [Deflection Rate](https://en.helpfeel.com/glossary/deflection-rate): Deflection rate is the percentage of support tickets prevented before they reach an agent. See the formula, calculation methods, and how it compares to related metrics.
- [Escalation Rate](https://en.helpfeel.com/glossary/escalation-rate): Escalation rate is the percentage of support tickets that must be passed to a higher tier or specialist team. See the formula and what a healthy rate looks like.
- [First Contact Resolution](https://en.helpfeel.com/glossary/first-contact-resolution): First Contact Resolution (FCR) is the percentage of customer issues resolved on the first contact with support. See the formula and why it matters.
- [First Response Time](https://en.helpfeel.com/glossary/first-response-time): First response time measures how long it takes support to send the first reply after a customer opens a ticket. See the formula and benchmarks.
- [Generative AI in Customer Service](https://en.helpfeel.com/glossary/generative-ai-customer-service): Generative AI in customer service creates original responses to customer questions in real time, using models trained on your company's knowledge to answer naturally.
- [Help Center](https://en.helpfeel.com/glossary/help-center): A help center is a self-service hub where customers find answers to product or service questions. See how they work and why they matter.
- [Help Desk](https://en.helpfeel.com/glossary/help-desk): A help desk is a centralized service that receives, tracks, and resolves customer or employee support requests. Learn how it works and what to look for.
- [Knowledge Base](https://en.helpfeel.com/glossary/knowledge-base): A knowledge base is a central library of articles, guides, and answers that customers or employees search to solve problems on their own.
- [Knowledge Management](https://en.helpfeel.com/glossary/knowledge-management): Knowledge management is the process of creating, organizing, sharing, and using information within an organization to improve decision-making and performance.
- [NPS](https://en.helpfeel.com/glossary/nps): Net Promoter Score (NPS) measures customer loyalty by asking how likely customers are to recommend your product or service. See the formula and ranges.
- [Omnichannel Support](https://en.helpfeel.com/glossary/omnichannel-support): Omnichannel support connects all customer service channels into one seamless experience. See how it works and why it matters for modern support teams.
- [Self-Service Rate](https://en.helpfeel.com/glossary/self-service-rate): Self-service rate is the percentage of customers who resolve issues on their own, without contacting support. See the formula and benchmarks.
- [SLA](https://en.helpfeel.com/glossary/sla): A Service Level Agreement (SLA) is a contract setting service standards between a provider and customer. Learn what goes in one and how they work.
- [Support Ticket](https://en.helpfeel.com/glossary/support-ticket): A support ticket is a record of a customer request or issue submitted through email, chat, or a form, tracked until resolution. See how they work.
- [Ticket Volume](https://en.helpfeel.com/glossary/ticket-volume): Ticket volume is the total number of support tickets received in a given time period. See what drives it and how to bring it down sustainably.
- [Tiered Support](https://en.helpfeel.com/glossary/tiered-support): Tiered support is a structure that routes customer issues by complexity, with Tier 1 handling basic questions and Tier 3 solving technical escalations.
- [Knowledge Base Management: The Complete Guide](https://en.helpfeel.com/knowledge-base-management): Knowledge base management is the ongoing work of keeping self-service content accurate and findable so customers resolve their own questions. Here is how.
- [Why Knowledge Bases Go Out of Date](https://en.helpfeel.com/knowledge-base-management/why-knowledge-bases-go-out-of-date): A knowledge base is a claim about how a product works, and the product keeps changing. Here is why help center content decays and why the curve steepens.
- [Voice of Customer Analytics: The Guide](https://en.helpfeel.com/voc-analytics): Voice of customer analytics turns support tickets, chats, and searches into a ranked map of what customers ask, how they feel, and what they want to do.
- [Topic Modeling for Customer Support Data](https://en.helpfeel.com/voc-analytics/topic-modeling): Topic modeling groups thousands of support messages into the themes customers actually ask about, so you can rank what to fix first. A practitioner's guide.
- [Sentiment Analysis for Customer Support](https://en.helpfeel.com/voc-analytics/sentiment-analysis): Sentiment analysis reads the emotion in customer messages and sorts it into positive, negative, or neutral so you can prioritize the topics that hurt most.
- [Intent Analysis in Customer Support](https://en.helpfeel.com/voc-analytics/intent-analysis): Intent analysis reads what a customer is actually trying to do, not just what they typed, so support can act on the need. A practitioner's guide.

## Documentation
- [Keyline: An AI-Powered PDF Reading Assistant](https://en.helpfeel.com/docs/keyline): Keyline reads PDFs with Google Gemini's multimodal understanding, so you can search across a library of files and get citation-backed answers instead of skimming pages yourself.
- [Conversations and Citations](https://en.helpfeel.com/docs/keyline/conversations-and-citations): Ask Keyline questions about a document and get answers backed by citations that link back to the exact page they came from.
- [Keyline FAQ](https://en.helpfeel.com/docs/keyline/faq): Answers to common questions about supported file types, file size limits, who can see your uploads, supported languages, and troubleshooting.
- [Getting Started with Keyline](https://en.helpfeel.com/docs/keyline/getting-started): Upload your first PDF, see how the upload step analyzes the file and builds a search index, and find out where to start reading.
- [Searching Across Multiple Files](https://en.helpfeel.com/docs/keyline/multi-file-search): Search your whole library at once, understand how the multi-file index works, and group results into bundles.
- [Organizing Your Library](https://en.helpfeel.com/docs/keyline/organizing-your-library): Use libraries and bundles to keep your uploaded files organized and reuse search sets.
- [Reading and Analyzing PDFs](https://en.helpfeel.com/docs/keyline/reading-pdfs): How Keyline's PDF view works, including page-by-page navigation and Gemini's understanding of figures, diagrams, and tables.

## Blog
- [CX Heroes Podcast #52: Why a Missed Delivery Date Costs You More Than the Order](https://en.helpfeel.com/blog/cx-heroes-melanie-edwards-virreira-delivery-date-trust): Packaging strategist Melanie Edwards Virreira explains why a late shipment can get your B2B buyer fired, and why the reassurance around a product matters as much as the product itself.
- [Context Boundaries: When to Start Fresh With AI](https://en.helpfeel.com/blog/context-boundaries): The most underrated skill in working with AI is knowing when to break context. Here is why a new session, a fresh agent, or a clean prompt often beats one long chat.
- [What an AI Customer Support Deployment Actually Looks Like](https://en.helpfeel.com/blog/inside-an-ai-support-deployment): A behind-the-scenes look at launching and tuning AI support, from day one search data to the monthly cycle that keeps it improving.
- [Your CX Problem Is Probably a Knowledge Problem](https://en.helpfeel.com/blog/cx-problem-knowledge-problem): Teams pour CX budget into chatbots, help centers, and AI pilots while the knowledge underneath stays a mess. Why the work keeps starting in the wrong place.
- [Executives Think Customers Trust Them. They Don't.](https://en.helpfeel.com/blog/customer-trust-perception-gap): PwC and Forrester data show a growing gap between how much executives think customers trust their company and how much customers actually do.
- [Helpfeel Launches AI-Ready Consulting for Call Centers](https://en.helpfeel.com/blog/helpfeel-ai-ready-consulting-autopilot-call-center): Helpfeel is launching an AI-Ready consulting practice built around the Autopilot Call Center, starting with a live engagement at Tohoku Electric Power.
- [CX Heroes Podcast #53: AI Can Write the First Draft. The Revision Is Still Your Job.](https://en.helpfeel.com/blog/cx-heroes-elise-jeanmaire-ai-needs-an-editor): Elise Jeanmaire, an 18-year COPC-certified CX leader now at SimpliSafe, explains why the revision step is where support teams actually learn their business, and why handing every draft to AI quietly hands over your voice too.
- [Inside HACK Lab: Helpfeel's Silicon Valley Rotation](https://en.helpfeel.com/blog/hack-lab-silicon-valley-outpost): HACK Lab is a rotation that sends Helpfeel engineers and PMs to Silicon Valley for short, hands-on stretches. Here's how it works and why presence beats reading about it.
- [Things That Are Knowable Today (And Weren't a Few Years Ago)](https://en.helpfeel.com/blog/things-knowable-today): A running list of things you can now measure and optimize that were too costly or too hard to build just a few years back. AI changed the math.
- [Don't Produce Noise, Produce Music](https://en.helpfeel.com/blog/dont-produce-noise-produce-music): Most support data is noise. Here is how search keywords, no-hit rates, and self-service signals turn into voice-of-customer you can actually act on.
- [CX Heroes Podcast #50: Everything In Support Can Be Automated. That Doesn't Mean It Should Be.](https://en.helpfeel.com/blog/cx-heroes-tim-thijsse-when-not-to-automate-support): Tim Thijsse, a top 50 CX leader and author of Maturing in Customer Experience Optimization, explains why the goal was never to automate everything you can. The harder skill is knowing which moments to protect for a human.
- [Let Your Customers Write Your Knowledge Base](https://en.helpfeel.com/blog/voice-of-customer-knowledge-updates): An opinion piece on voice-of-customer-driven knowledge updates: why the quarterly audit is the wrong model, and what we think replaces it.
- [Your Customers Stopped Starting at Your Help Center](https://en.helpfeel.com/blog/customers-start-support-on-google-not-your-site): Gartner says 51% of customer service journeys now begin on Google, YouTube, and ChatGPT. Here is what that means for your support strategy.
- [10 Overpowered AI Prompts I Actually Use Every Day](https://en.helpfeel.com/blog/10-overpowered-ai-prompts): Most AI prompt lists are filler. These are the ten short prompts I lean on daily to get real work out of an AI assistant, with the tiny phrasing tricks that make each one fire.
- [CX Heroes Podcast #48: The Support Agent Role Is Being Rewritten. Most Teams Aren't Building For It Yet.](https://en.helpfeel.com/blog/cx-heroes-amanda-carden-chamberlain-support-role-2028): Amanda Carden-Chamberlain has spent 17 years in CX, manages 30 products, and hit 95 NPS last month. She explains why the support agent job looks completely different by 2028, and what a credible AI pitch has to clear before she will even read it.
- [CX Heroes Podcast #49: Your Customer Can't Be Honest With Your Sales Rep](https://en.helpfeel.com/blog/cx-heroes-brian-porter-honest-customer-feedback): Brian Porter, CCO at Ernest, ran 60 no-agenda customer conversations and learned more in 45 minutes than his reps had in three years. Here is why honest feedback never reaches the person holding the quota, and what to do about it.
- [Why Helpfeel Exists](https://en.helpfeel.com/blog/why-helpfeel): Helpfeel came to the US with a simple belief: AI support should be prepared, never improvised. Here is why we do what we do, and what we're building.