Forward Looking Line Optimization
Faced with limited shelf space and retailers' constant effort to optimize category mix, manufacturers need to be smarter about their line composition and provide retailers with a research-based rationale for taking on new products.
Affinnova Discrete Choice can tell what SKU combinations will produce the greatest sales, share, or profitability in light of the competitive set. Whereas traditional line optimization tools can't handle the number of SKUs present in most categories, Affinnova can optimize the line from as many as 100 current, new, and competitive SKUs.
A discrete choice study includes multiple optimized line recommendations based on different objectives, and an easy-to-use Excel-based market simulator for business-specific recommendations. Our unique latent-class segmentation analysis enables optimizing by consumer subgroup to discover consumer segmentation schemes.