
Odvětví: E-commerce (Outdoor)
Velikost: 1+ mld. Kč obrat, 14 zemí
Produkty: AI Mailbot, AI Chatbot, Automatizace
Implementace: 6 měsíců
Klíčové výsledky:
13 500 e-mailů automaticky odbaveno
1 519 chatů vyřešeno bez člověka
24/7 dostupnost ve 14 jazycích
Thanks to planned AI assistant deployment in October 2025, we didn't need to increase seasonal customer support capacity this year. We are thus available to clients 24/7 even during the busiest e-commerce season months, which helped stabilize internal team workload and allows us to maintain high customer experience standards such as SLA and CSAT metrics.
AI assistant covers common queries and efficiently transfers complex cases to specialists for individual resolution. Onboarding and training of the assistant took place within one month and thanks to JARABOT support we fine-tuned its behavior and interface exactly according to our needs.
Before deploying JARABOT.com AI assistant, Skip Pay customer support faced typical challenges of rapidly growing fintech service:
High volume of repetitive queries, especially during increased load (Q4 / Christmas)
Need to plan seasonal reinforcements to handle e-commerce season peaks
Team had little room for complex cases and individual customer requirementsků
Limited support availability – clients often had to wait for response
Growing popularity of BNPL services brought more and more customer queries — Skip Pay needed a solution that scales quickly and reliably without need to increase capacity.
Main goal was to relieve customer team from routine queries and increase support availability.
Hlavním cílem bylo odlehčit zákaznickému týmu od rutinních dotazů a zvýšit dostupnost podpory.
Skip Pay decided to automate frequent FAQ queries and reduce manual work volume.
Klíčové bylo zajistit dostupnost podpory 24/7, bez ohledu na pracovní dobu nebo obsazenost týmu.
Internal team could focus more on complex situations requiring individualized approach.
Given approaching season, it was necessary to deploy solution quickly, ideally before its peak.
AI system should gradually improve, learn from real conversations and more precisely cover specific scenarios.
Onboarding proceeded quickly, structured and precisely according to Skip Pay needs. Entire deployment process, including assistant training, was completed within one month.
Skip Pay team received clear instructions for preparation and connecting internal systems.
Support from JARABOT was constantly available, responses fast, specific and practical.
AI assistant was gradually fine-tuned to Skip Pay brand tone and key scenarios.
Interface and assistant logic were customized for smooth start even in demanding seasonal period.
Pilotní provoz, A/B testování, ladění odpovědí
Plné nasazení, kontinuální monitoring a optimalizace
Cooperation with JARABOT goes hand in hand with our technological direction and innovations. JARABOT brings desired technology in excellent quality that helps us streamline client care.
The JARABOT AI assistant helped Skip Pay handle a growing volume of inquiries, speed up communication, and significantly reduce the workload of the customer support team — even during peak season.
AI assistant handles 88% of queries independently
Skip Pay didn't need to expand team for seasonal peak this year
Internal team has more capacity for complex and individual requirements
Clients get answers instantly, without waiting, 24/7
Continuous improvement of answer quality and expansion of query types AI can handle
Preparing AI assistant for Slovak market with goal of 95% support coverage without internal team involvement
Ať už provozujete e-shop, marketplace, SaaS platformu nebo fintech aplikaci – JARABOT AI vám pomůže:
✓ Automatizovat 50-70% rutinních dotazů
✓ Zkrátit reakční dobu z hodin na sekundy
✓ Poskytnout podporu 24/7 bez navyšování týmu
✓ Ušetřit stovky hodin práce specialistů měsíčně
✓ Zvýšit spokojenost zákazníků měřitelně
AI systém analýzy umožňuje real-time monitoring výpadků klíčovýchslužeb (např. platební brány) i procesních selhání a zároveň poskytujehlubší datový vhled do práce operátorů. Na základě těchto datpodporuje individuální rozvoj a cílený coaching týmu a pomáhá lépeporozumět skutečným potřebám a problémům zákazníků. AI navíc dokážetransformovat získaná data do konkrétních akčních doporučení aumožňuje sledovat trendy v čase a jejich vývoj.
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