Consumer packaged goods analytics includes analysis of product assortment, mix impact, market structure, purchase structure, analysis of price-pack curves, econometric regression of price elasticities.

Need for CPG analytics raised due to value conscious customers with fast changing needs and intensified cost pressure due to retailer consolidation and rise of hard discounters.

Today’s consumers expect customized, connected, cross-channel experiences. Success in this increasingly fast-moving digital age depends not only on getting the right product placed in the right retail channel but also on optimal pricing, and promotion strategies. 

Consumer Packaged Goods (CPG) manufacturers and their retail partners to understand how shopping decisions are being made in this radically new consumer environment. Effectively managing and analyzing data are two critical strategies that CPG companies and retailers need to embrace if they want to truly understand – and then activate – today’s shopper to re-ignite growth and profits.

The best way to optimize Omni channel strategy is by using advanced analytics for the 4 Ps: product, price, place and promotion.