The voice bot contacts couriers who have left the company identifies reasons for churn attempts to resolve issues and builds transparent analytics on key exit factors including compensation schedule and working conditions.

The bot calls available couriers and offers open shifts at other locations covering shortages automatically achieving up to 90% contact rate and up to 50% conversion without coordinator involvement.

The AI trainer simulates candidate conversations trains recruiters in real-life scenarios and delivers insights and recommendations automatically via a Telegram chat bot.

We have been working with Samokat since 2022. During this time we have developed over 70 voice bots and around 10 chat bots for mass hiring courier return coordination and training across multiple roles. Our solutions cover the full communication cycle from cold and warm outreach to website chat bots and internal services. This case presents only a part of the automation that was previously not publicly disclosed but clearly demonstrates the depth and scale of the project.

The voice bot automatically contacts candidates within 60 seconds after they apply via job boards landing pages and other sources.
It confirms interest conducts initial qualification based on key criteria and transfers only suitable candidates to recruiters.

The average conversion to a qualified candidate is around 40% with lead cost starting from 25 RUB.
The bot correctly handles situations where the candidate cannot talk and independently schedules a callback.
All dialogues are powered by human voice recordings an NLU engine and ChatGPT.

Our collaboration with VkusVill began at the most critical moment — just days before New Year 2024, when the business needed to quickly bring couriers back to work and avoid delivery disruptions.

In less than four days the voice bot was launched and took over outbound calls to the candidate base ensuring stable operations throughout the holiday period. Today the partnership has grown into full omnichannel HR automation including dozens of voice and chat bots notification services and role-specific scenarios.
Below we demonstrate one of these solutions — a first-line bot for inbound application

The voice robot automatically contacts customers after the order is closed, conducts an NPS survey, and collects feedback on the quality of the visit. In case of a negative assessment, the robot uses the customer's refund algorithm: it listens, records the reason and notifies the head of the relevant service station.

The contact rate reaches about 80%, and up to 45% of clients complete the survey. The solution is fully integrated with 1C and costs businesses an average of three times less than an outsourcing call center.

The voice robot automatically confirms customer visits to the car service center: it clarifies the date, time, and location of the appointment. If necessary, the robot re-assigns the customer or confirms the visit, reducing the number of no-shows.

The cost of one confirmation is about 3 rubles, which is half the price of an SMS, while the business receives live feedback. The robot is integrated with 1C and works completely automatically, without the need for administrators.

After the order-order is closed, the master receiver records the recommendations in 1C and indicates the period of their relevance. The voice robot contacts customers at the right time, reminds them of the recommendations, and offers to book a service with a discount.

The conversion rate of customer returns reaches up to 20% with a lead cost of about 50 rubles, making this scenario an effective tool for warm sales and repeat visits.

Navigator Car Service is a regional network of car service stations and car dealerships, represented in several cities. Since 2021, the company has been using voice robots to automate customer service and improve the quality of service.

As part of the collaboration, solutions have been implemented for collecting feedback, confirming visits, and reactivating the customer's warm base, which are fully integrated with the customer's 1C system.

Contact rate on a cold database reaches up to 60% with lead conversion up to 8% and lead cost starting from 36 RUB.
Operators are connected only to warm candidates significantly reducing workload and operational costs.
The average hourly cost of an operator is approximately four times higher than that of a voice bot.

An example of a dialogue where the voice bot correctly handles candidate objections and records a rejection without operator involvement.
This approach prevents expensive human resources from being spent on non-target contacts and allows HR lead generation to scale without expanding the call center team.

Rostic’s uses a voice bot as an additional HR lead generation channel for its restaurant network.
The core scenario is cold outbound calling with brand recognition caller ID labeling and welldesigned callback rules allowing high contact rates even on cold audiences. The voice bot handles first-line communication by presenting job opportunities explaining conditions addressing objections and transferring only interested candidates to call center operators.
This approach ensures a steady lead flow while keeping operator workload under control.