Insights derived from POS systems helped a Bakery store chain forecast demand and eliminated manual interventions through DataMart development

The bakery store chain faced high sales returns and increased production costs due to a lack of market demand visibility.

CRG Solutions created a DataMart to reduce returns, increase profitability, and streamline the ordering process through a data-driven approach.

A Bakery Store company with locations all over the country that sells products like cakes, pastries, delicacies, bread etc. which are of perishable quality with a short shelf life requires processes that can help optimize inventory, resource allocation, production planning, marketing & promotion and enable automate order management.

The company sells perishable products with limited shelf life in its stores nationwide.The high number of sales returns caused by faulty inventory and production planning resulted in decreased revenue and product waste.

It was inefficient to use manual techniques for ordering and forecasting.  To minimize revenue loss from sales returns and improve inventory and production planning, the CRG team has been assigned the responsibility of implementing a fully automated solution from start to finish.

The CRG data engineering and data science teams collaborated on a solution to construct a data mart. This data mart collects historical data from POS Systems (Bizom for owned outlet & Rishta for Franchisee outlets) & CRM (Logibricks). They also developed and trained a precise forecasting model to predict demand for each SKU and store.

The CRG data engineering and data science teams collaborated on a solution to construct a data mart. This data mart collects historical data from POS Systems (Bizom for owned outlet & Rishta for Franchisee outlets) & CRM (Logibricks). They also developed and trained a precise forecasting model to predict demand for each SKU and store.