Take action in real-time: pictures captured by your reps use the power of Image Recognition to produce shelf KPIs and recommended fixes in seconds – with 95%+ IR accuracy
Take advantage of the best-in-class, deep-learning algorithms to translate your shelf pictures into retail KPIs
Get shelf data in real-time while your rep is still in the store
With thousands of trained users working on Compass' cloud data enrichment platform, you can get up and running in just a few weeks
Deep-learning algorithms analyse complex retail scenes and automatically identify product facings, locations, price tags, etc.
The Compass app uses advanced Image Recognition algorithms based on state-of-the-art Convolutional Neural Networks that automatically analyze retail shelf pictures and convert them into your shelf KPIs with 95%+ IR accuracy:
– Availability & Visibility KPIs: OSA, Number of facings, Hand & Eye level, Price, Out of stocks, Share of shelf, Competitor data, etc.
– Promotional Compliance KPIs: Display presence, Display location, PoS elements compliance, OSA/Assortment on display, Promo price tags, etc.
To see the list of all the KPIs we can track, look at our ‘Perfect Store‘ page
Your reps can make the most of IR by using the ‘Shelf Scanner’ feature of our Compass app.
Real-time IR automatically scans shelf pictures to feed your KPIs into the Cockpit platform and Compass app – or to your Sales Force Automation (SFA) / Retail Execution (RE) or BI system via REST API.
You get only what your reps are able to manually report through their current tools, with heavy restrictions in terms of KPIs reported, delivery speed and analytics capabilities
You get all your shelf KPIs delivered and automatically analyzed in real-time to provide impactful recommendations to you and your field team
What makes this solution truly unique is the range of additional technologies it combines with to offer maximum efficiency.
We use stitching & deduplication algorithms that automatically scan the pictures to rebuild the complete images of the stores’ shelves – that will be then analyzed through our IR technologies.
Our solution also leverages crowdsourcing to handle exceptions from IR, via a unique Human-In-The-Loop (HITL) process – which guarantees maximum data accuracy and speed of setup & delivery. And any outstanding issue would automatically trigger an alert for our own team to deal with it.
No need to care about technical difficulties: our technologies manage them all, so you always only get the true reality of what’s inside the stores.
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