What is Spotlight?
CB4’s solution empowers store managers to correct costly execution problems in their stores, one AI-powered recommendation at a time.
Unlike traditional retail analytics, Spotlight uses patented AI and machine learning algorithms to accurately detect when the most in-demand products at each store are failing to sell to their potential.
Then the solution sends each store or category manager timely recommendations to correct issues on the floor, elevate customer experience, and drive sales by up to 2%.
Our C-Store Partners Include:
Product findability is the key to retaining customers in convenience retail. Our surveys indicate that:
"CB4 allows us to better localize our assortment on a store and SKU level. We want our customers to be able to find exactly what they're looking for, and we want to carry the items they love the most."
Tony Noonan, VP of Retail Operations at Handy Mart
How does it work?
Spotlight helps brick-and-mortar retailers ensure that the products that local shoppers want are always in-stock and ready to shop and gives them an edge on the competition.
Spotlight’s patented AI algorithms identify products with high hyper-local consumer demand, based on previously undetectable patterns in your POS data.
Spotlight sends store managers notifications when products in their stores are failing to sell to demand.
Next, the app guides store managers as they fix what’s causing low sales.
Store managers restore sales by fixing promotional errors, visual merchandising mistakes, replenishment oversights, out-of-stocks, inventory system discrepancies, and more.
Finally, store managers share the issues they find in stores in the app, and Spotlight uses machine learning to create more potent recommendations over time based on their feedback.
As¸ local shoppers find and purchase the products they want most, you restore sales for the most in-demand products at each store your convenience chain.
- 34% Doesn’t meet visual guidelines/isn’t visible
- 20% Left in the stockroom
- 16% Out of stock
- 12% Other misc. issues
- 10% Allocation issue
- 6% Price tag or label isn’t properly applied
- 2% Price adjustment opportunity