Case Study: Leading Analytics Company reduces food wastage with Cygnet Infotech’s Point of Sales Predictive Solution

Point of Sales Predictive Solution Assisting Reduction in Food Wastage at Various Events

Cygnet Infotech worked with a leading analytics company in the US that provides point-of-sale solutions across industries. Its client needed a predictive POS solution for an event and catering business to better forecast food consumption, improve planning, and reduce major food wastage at events, while integrating smoothly with web portals and mobile apps.

Cygnet Infotech built an online POS predictive solution using Python, Flask, Jinja2, REST API, JSON, and decision tree/linear regression models to analyze historical sales, weather, event type, location, capacity, and other factors. The solution delivered dashboards, real-time predictions, automated POS insights, and easy integration, helping the client reduce food wastage and achieve over 96.45% prediction accuracy with no licensing costs or maintenance overhead.