WE CAME, WE SAW, WE SOLVED
Move from Basket/cart-Centric Data Analytics to Consumer-Centric Data Analytics. We started understanding consumer purchasing behavior at the individual and household levels. We brought consumer-centric, omni-channel data ingesting 1.6 billion POS transactions/month.
The program provided 208 new Business Intelligence insights ranging across Transactions Insights, Shopper Insights, and Distribution Insights.
Based on this, we forecasted the consumption at the product level, frequency, and brand preferences. Once this forecast was finetuned with ML, we could start providing promotions and discounts based on consumer’s upcoming product needs.