Pensa Launches Retail Shelf Facings Optimization Resolution

AUSTIN, Texas, Dec. 27, 2022 (GLOBE NEWSWIRE) — Pensa Techniques, a number one innovator in automated retail shelf intelligence, at the moment introduced the launch of its facings optimization resolution that can assist Shopper Packaged Items (CPG) manufacturers develop income by way of improved retail shelf facings optimization.

The time period “shelf facings” refers back to the variety of models of a product which might be seen from the entrance of a retail retailer shelf. In grocery retail, competitors between CPG manufacturers for facings is fierce given its direct translation to worthwhile income development.

Historically, facings allocation has been decided primarily based on tough estimates of relative gross sales quantity and velocity derived from backwards wanting point-of-sale (POS) information. Manufacturers usually couple POS information with synthetic shelf state of affairs simulations to estimate shelf efficiency.

POS information, nevertheless, is notoriously “noisy”. For instance, gradual product gross sales mirrored in POS information could be a sign {that a} explicit product just isn’t promoting, or it could be a sign that the product is usually out-of-stock on the shelf and never out there on the market.

Pensa closes this hole for CPG manufacturers and retailers by offering a steady view of precise merchandise on the retail shelf throughout a variety of shops and deployed shelf configurations. By correlating actual on-shelf product availability with the variety of facings per product, Pensa applies the idea of pricing elasticity to facings to find out the optimum variety of facings by class and by product to maximise income with out allocating area for one product on the expense of different merchandise. See an instance of Pensa’s facings evaluation right here.

“Optimizing the shelf is now potential in a brand new method leveraging the sensible energy of laptop imaginative and prescient and AI,” says Richard Schwartz, President and CEO of Pensa Techniques. “Basing facings evaluation on a highly-accurate and granular view of what’s on the shelf and out there on the market heralds a brand new period of manufacturers and retailers working intently collectively to optimize facings for mutual profit”.

Pensa’s Synthetic Intelligence (AI) is the primary absolutely automated shelf intelligence resolution. To robotically ship correct, close to real-time steady shelf information, Pensa’s AI learns to visually acknowledge and distinguish between merchandise on the shelf a lot as a human does versus scanning a barcode on the again of a package deal or evaluating a single product picture towards a product picture database.

Pensa captures then analyzes a video stream of tons of of photographs, taken from quite a few angles, of every particular person product on the shelf to precisely determine and distinguish between merchandise in close to real-time to calculate a extremely correct view of shelf stock. See Pensa seize and analyze a retailer aisle in seconds right here.

Pensa’s facings evaluation resolution is on the market now as a brand new product inside its portfolio of knowledge and analytics choices. Contact Pensa for added particulars.

About Pensa Techniques
Pensa is the chief in automated retail shelf intelligence, powered by patented superior AI and laptop imaginative and prescient. Pensa delivers the supply of reality about what’s taking place on the retail shelf to reduce stockouts, enhance shelf share, optimize product planning, and enhance the shopper expertise for the omnichannel world. Pensa companions with high CPG manufacturers and retailers globally, together with Johnson & Johnson, Basic Mills, Anheuser-Busch InBev, Circle Ok, and Unilever to deal with a trillion-dollar “blind spot” at a important time within the trade. Pensa was named to the 2022 CB Insights Retail Tech 100 as a high innovator defining the way forward for retail. Please go to pensasystems.com to study extra and keep related.