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Focal Systems’ platform helps retailers cut shelf scanning cost in half by switching from manual to automated shelf scans.
The solution is based on low cost, discrete shelf cameras, a sophisticated computer vision model and a cloud-based machine learning platform that is tuned for complex retail environments.
By providing automated, real-time insight into on-shelf product availability, retailers can repurpose store personnel to focus on customer experience and other higher value tasks.
In addition, the real time data captured by the shelf cameras feeds into Focal Systems’ AI engine which can help automate and optimize product availability and merchandising decisions.
These optimizations have proven to save up to 50% on manual shelf scanning cost and significantly improve in-store customer experience via higher product availability which generates a 3-5% increase in sales compared to baseline stores.
Focal Systems’ platform is deployable at scale and will provide impactful results from day one. It also integrates with existing retail systems and applications to enable additional cost savings and insights from its real-time product availability and analysis.
Focal Systems’ shelf cams are deployed at scale with proven results at several major global retailers and every day process more than 10M shelf scan images.
Live jobs
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Data/Reporting Team Lead
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Infrastructure Engineer
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Senior Customer Integration Engineer
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Full Stack Software Engineer (Python / React)
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Last 90 days vs. the 90 days before
Rolling 12 months
Peak month
Jul · 7roles
Avg / month
0.8 roles
Momentum
-57% QoQ
What people ask before applying to Focal Systems
Focal Systems currently has 6 open remote roles listed on Jobgether. Open any role from the list on this page to see the details and apply directly.
Focal Systems has 51–200 employees.
Focal Systems operates in Retail.
Focal Systems was founded in 2015.
See which Focal Systems roles match your profile, requirement by requirement, before you send a single application.
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