By applying patented machine learning algorithms to your pre-existing POS data, CB4’s solution captures lost sales by correcting operational inefficiencies on a SKU and store level.
0.8% TO 3%
SAME STORE GROWTH
1 DAY
PROOF OF CONCEPT
1 DAY
IMPLEMENTATION
When the sales of a SKU at a store doesn’t meet the expected demand, a recommendation is sent via our desktop or mobile app to the operations team with guidance on how to capture the lost sales opportunities.
How Promotions Improve Same-Store Sales
Same-store sales are a significant part of retail data as they let a business know how their stores are performing. Each year, businesses are able to look at their historical sales data and measure performance over time (whether this figure is the end-all-be-all is another discussion). Having such a benchmark enables retailers to understand trends, […]
Read MoreToday CB4 and Heinen’s announced their partnership to improve same-store growth and customer experience by solving in-store operational issues through CB4’s patented machine learning software.
Read MoreAs convenience and fuel retailing’s premier industry event, the NACS Show attracts more than 23,500 industry stakeholders from around the world. Buyers and sellers come together to conduct business and learn from one another — all in an environment rich with new ideas and partnerships. The NACS Show is the place to network and connect […]
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Learn how ACE Hardware implements CB4 into their stores and improves same-store growth and customer experience in a matter of minutes each week.
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Using CB4, Wesco experienced 1.6% same-store growth within four months of executing recommendations. Learn how in our latest informative case study.
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Sonol partnered with CB4 to increase same-store growth and gain more control out of out-of-stocks, misplaced items, and other operational issues. See how much they improved.
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Learn how Shufersal identified both operational and merchandizing inefficiencies affecting their bottom line by partnering with CB4 in this case study.
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