About
Product/Services: Syzen’s SaaS product employs mathematically sophisticated Predictive Analytics algorithms to detect “affinity” groups of shoppers from their purchase behavior. Then for an individual store or group of stores in each market, shoppers’ purchase habits are matched to their affinity group and the optimum brand and SKU shares for the particular store or stores as well as the existing “Revenue Opportunity Gap” (ROG) are predcited; SaaS Solution helps retailers drive ROG to zero. Customer problem: CPG companies such as P&G and Nestle need to demonstrate to Retailers that more of their brands will sell. This requires CPG companies to know shopper preferences at each of the store locations. Unfortunately, CPG companies do not have these data. Retailers own the shopper purchase data via their transaction logs (T-logs) and loyalty programs. Syzen products above generate the results that CPGs crave and are provided to them faster, better & cheaper than ever before.