WHY WORK DATA-DRIVEN IN THE STORE?
Move from gut-feeling to AI-powered execution
Retailers are estimated to lose around 8% of potential sales because of misplaced, expired or unavailable products, most of which their systems are not aware of.
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Store managers and associates know their stores well. But expecting that they quickly find all sales issues is asking a lot: products that are misplaced or are expired may not be noticeable when quickly browsing the isle. Zero-sales lists from the BI-system often
contain thousands of items. And when the lists are used, and associates find important issues, where are those issues reported?
This is where we come in. We provide one smooth digital process for finding, fixing and reporting on-shelf-availability issues and other issues holding back sales in the store. It is the power of AI in the hands of every associate.
PROCESS
Finding and fixing on-shelf availability issues has never been easier
Identify
Get AI-powered help identifying sales issues and receive accurate action suggestions straight to your handheld device
Fix & Report
Fix the problem and report it in the app in the handheld device
Root Cause
Use the feedback data to find and solve the underlying root-causes to the sales issues
Akuret is used in hundreds of stores because we deliver results!
90%
Alert accuracy
1-2%
More sales
80%
Fewer negative reviews
HOW DOES IT WORK?
Getting started with Akuret is simple.
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Your sales data is uploaded to Akuret using a simple integration. This can be done on a daily basis or at your frequency of choice. We can have you up and running in a few days!
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Once the data stream is up, the Akuret AI Engine analyzes the data for all stores and products simultaneously using advanced proprietary algorithms developed by former M.I.T. researchers. The Engine considers not just historical sales patterns of individual products, but also the sales patterns of similar products. Akuret AI Engine requires no expensive equipment, maintenance or support.
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Alerts are sent to store handhelds. Store associates act on the issues and report their feedback. The feedback is then used by the engine to improve the output.
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Root-causes can be analyzed based on all feedback and engine data in the Akuret Dashboard or in your BI-system of choice.