Pascal
A predictive and integrated automatic reordering system designed to support the point of sale in the daily management of stocks.
Description
Pascal is the predictive and integrated automatic reordering solution for retail designed by Relatech with the aim of structurally optimizing inventory management in stores.
The platform uses advanced stochastic models to forecast sales, including both regular and promotional flows, and automates order calculations in a reliable and controllable way.
Thanks to its open architecture, Pascal integrates easily with existing management systems, reducing operational complexity and ensuring rapid time to value.
Challenges solved:
Reduction of stock-outs and sales losses
Elimination of overstock and waste
Simplifying repetitive tasks for staff
Standardization of processes and reduction of errors
How it works:
Automatically collects sales data and processes it in a predictive way
Calculates the optimal order for each reference, with the possibility of manual revision
Order ready and integrable with ERP, ODA and internal systems as soon as the cash register closes
Scalable architecture, simple and customizable interface, integrable REST services
Using the solution improves shelf availability, reduces internal movements, and increases product rotation, helping to contain obsolete inventory and reduce out-of-stocks. Refill activities are simpler and more efficient, freeing up time for higher-value activities. Replenishment is based on flexible logic, adapted to the characteristics of different products: from automatic replacement for dry goods to demand-based replenishment for fresh and perishable goods, to customized configurations for seasonality and business opportunities.
The high level of configurability by department and category, along with integration with electronic labels and business systems, ensures data consistency, workflow automation, and ready-to-use orders. Dashboards provide clear, up-to-date KPIs to support operational and strategic decisions at the point of sale and purchasing. The platform is designed to evolve over time, extending to internal production processes and warehouse management, while the Relatech approach ensures ongoing support, from start-up to optimization, in line with evolving operational needs.
Success stories
Among the successful cases, Iper Tosano launched the project in the dry and frozen departments, later extending it to the fresh departments. Key KPIs improved within the first four weeks, with effective integration of nighttime logistics and dark stores. Supermercati Visotto also implemented Pascal initially for dry and frozen goods, with the fresh department launched later: staff were quickly trained, and the results in shelf fill and logistics efficiency were immediate.