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Analytics Insight partner

Mining historical data for insights on which categories were top performing and arriving at poorly performing categories, five of which were eliminated. Customer Value Segmentation – RFM helped arrive at repeat customers who could be targeted for cross selling of categories

Text Mining and Sentiment analytics on B2C customer reviews revealed a key issue of poor google reviews due to a human response bias . Recommendation to address this Improved customer reviews by 11% and more critically to 4.0 +

Times series Demand forecasting of demand revealed low demand day and hours, and high demand time and days. Shifts of employees were rearranged accordingly

Tapped unfulfilled seasonal demand was identified and shift and ad campaigns were readjusted to get maximum output.