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.
Why Do Retail Customers Prefer an In-Store Experience?
The retail industry has been in a constant stage of evolution, especially as technology offers more ways to improve the in-store experience. Store owners may be wondering how to compete with online shopping in this fast-paced climate. Compared to what was available in the retail industry 50 years ago, today’s consumer has their choice of […]
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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