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.
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The first paper coupons date back to 1887 when households received an offer for a free glass of Coca-Cola. The company used the coupon to promote the new soda to the masses through a coupon sent via mail. Other brands followed suit with their own offers and The Nielsen Coupon Clearing House arrived in 1957 […]
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.
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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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