Supply chain dashboard

Considering each outlet's specifics, we built the AI demand forecasting solution and optimized the volume of goods in the warehouse and the range of goods in different locations. We set up a system that has processed over 8 TB of sales data. These have helped the retail business increase revenue, improve logistics planning, and achieve other business goals.

The client was faced with the challenge of creating an optimal assortment list for more than 2,000 drugstores located in 30 different regions. They turned to us for a solution. We used a mathematical model and AI algorithms that considered location, housing density and proximity to key locations to determine an optimal assortment list for each store. By integrating with POS terminals, we were able to improve sales and help the client to streamline its product offerings.

The dropshipping company needed a way to automatically monitor prices and stock availability for over 100,000 products from over 1,500 stores. We created a system using custom scripts and a web interface that could check 60 million pages daily. This led to a reduction in manual work and errors, and improvements in customer experience and a $50-70k increase in monthly profits.

The online marketplace for cars wanted to improve search for users by adding full-text and voice search, as well as advanced search with specific options. We built a system application using Machine Learning and NLP methods to process text queries, and the Google Cloud Speech API to process audio queries. This helped greatly improve the user experience by providing a more intuitive and efficient search option for them.