
CRM for a restaurant chain
Content
Introduction
We developed a custom CRM system for the 'Sushi-Edo' restaurant chain (https://суши-эдо.рф) to automate order, warehouse, and customer service management. The project solved key business scalability problems.
About the client
"Sushi-Edo" is a chain of Japanese cuisine restaurants with delivery in the city of Tolyatti. The website features 500+ items, and operates a call center, mobile application, and personal account for corporate clients.
Business objectives
- Increase order processing speed;
- Reduce errors in logistics and warehouse management;
- Simplify integration of online platforms (website, application, aggregators).
Business Problems
- Manual duplication of orders from different sources;
- Failures in ingredient inventory synchronization;
- Lack of unified analytics on sales and customers.

Project objectives
Create a centralized system for:
- Automatic collection of orders from all channels.
- Real-time warehouse inventory control.
- Generation of dynamic reports on restaurant KPIs.
Solution
We developed a CRM with modules:
- OrderHub: aggregation of orders from the website, applications, calls, and APIs (Delivery Club, Yandex.Food).
- SmartStock: automatic ingredient write-off upon order confirmation + supply forecasting.
- LoyaltyEngine: personalized offers for customers based on order history.
- Dashboard: summary reports on revenue, average check, top dishes.

Technologies
Stages of work
117

Team and expertise
- Project Manager — stage coordination.
- UX/UI Designers — designing interfaces for complex data.
- Frontend Developers — SPA interface on Vue.js.
- Backend Developers — database architecture, API, integrations.
- QA Engineers
Result
- Order processing time reduced by 40%.
- Product losses reduced by 22% due to predictive write-off.
- Repeat orders increased by 17% thanks to the loyalty system.
- Unified analytics for all chain branches in real-time.


CEO of SKY CRYPTO project
Alexey Gorbunov
“The Atlant Software team accomplished the impossible: created a Bloomberg-level terminal for the crypto market in 3 months. The risk management implementation was especially impressive — our clients avoided losses during the LUNA crash. Response to revisions: 1–2 hours. Highly recommended!”
If you want the same successful
case, contact us or leave a
request
If you want the same successful
case, contact us or leave a
request
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