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An online business service supported thousands of users who reached out daily with questions about account setup, platform features, and pricing. The support team worked scheduled hours, so in the evenings and on weekends users could not always get help right away.

Customers often had questions about ingredients, skin types, product combinations and application. Store employees answered the same questions repeatedly, while some website visitors left without making a purchase.

The store added an AI Assistant in Mavibot and trained it on product descriptions, skincare guides, FAQs and internal recommendations. The assistant answered product questions, suggested suitable options and transferred more complex requests to a consultant.

An electronics online store was growing its sales and at the same time facing a rising number of customer inquiries. Shoppers asked about product specifications, delivery, payment, and returns. During promotions the load on support increased significantly.

Visitors asked about dimensions, materials, colours, assembly, stock availability and delivery conditions. Managers had to search through product pages and internal documents before replying.

The company provided the AI Assistant with access to its website content, product catalogues, delivery rules and internal tables. The assistant helped customers compare items, find relevant specifications and understand delivery conditions.

A manufacturing company with a large product catalog worked with corporate customers. Managers regularly received questions about product specifications, production timelines, and technical parameters. To prepare an accurate answer, they had to contact different departments and search for information in documents.

Customers struggled to compare devices with similar specifications. Support staff spent significant time explaining differences between models, compatibility and warranty conditions.

The retailer trained the Mavibot AI Assistant on website content, product documentation, warranty rules and technical guides. It answered detailed questions, explained differences in simple language and recommended suitable models based on customer needs.

A SaaS company was rapidly expanding its sales and support teams. New employees needed several months to learn all the product features, customer communication rules, and internal processes. Experienced staff constantly helped colleagues answer questions.

Clients were unsure which service to select, how long it would take and which specialist was most suitable. Administrators answered these questions manually before each booking.

The barbershop chain added an AI Assistant in Mavibot and provided it with service descriptions, prices, stylist information and booking rules. The assistant explained the differences between services and guided clients to the appropriate booking option.

An international online platform served customers across different time zones. Users often reached out in the evening or at night when the support team was unavailable. Because of the time difference, some customers only received a reply the next day.

Potential customers asked broad questions about destinations, visa requirements, hotel categories, seasons and travel formats. Managers spent time searching across presentations, PDFs and internal tables before preparing recommendations.

The agency trained the AI Assistant on its website, tour presentations, travel guides, FAQs and internal Mavibot tables. The assistant answered initial questions, clarified traveller preferences and suggested relevant destinations before passing the enquiry to a manager.