They no longer expect that a team of two passionate
Posted: Wed Jan 22, 2025 9:07 am
Sales are about the same. Models process a huge array of internal and external data on demand, with deep detailing on various parameters - geography, gender, marital status, etc. They also malta telegram database analyze the flow between competitors by a number of factors: the number of clients, the average check, sales volumes; characteristics of the market environment are also taken into account.
The Lenta team has assembled a model that uses more than 70 external and internal sources of information. In total, the ML solution that builds forecasts takes into account data on 107 million customers. The system has reduced the forecast calculation time for the chain's products by 30%, the volume of write-offs of products in the grocery category has decreased by 4%, and the availability of promotional products has increased by 5%. These same developments are useful when it comes to opening new stores - it is possible to calculate the assortment and its volume at a specific point with high accuracy.
Conclusion
The hype around AI is gradually dying down. The level of maturity of clients is growing. mathematicians can create a top solution for them. They have started to set tasks correctly and develop internal teams. And it is e-commerce with its huge volumes of data and suitable problems that is an excellent platform for training, testing technologies and refining tools.
The Lenta team has assembled a model that uses more than 70 external and internal sources of information. In total, the ML solution that builds forecasts takes into account data on 107 million customers. The system has reduced the forecast calculation time for the chain's products by 30%, the volume of write-offs of products in the grocery category has decreased by 4%, and the availability of promotional products has increased by 5%. These same developments are useful when it comes to opening new stores - it is possible to calculate the assortment and its volume at a specific point with high accuracy.
Conclusion
The hype around AI is gradually dying down. The level of maturity of clients is growing. mathematicians can create a top solution for them. They have started to set tasks correctly and develop internal teams. And it is e-commerce with its huge volumes of data and suitable problems that is an excellent platform for training, testing technologies and refining tools.