See Focal at NRF 2025 
Booth #1736 | New York, NY | Jan 12-14

See What You've Never Seen Before

Proven results in over 1,000 stores, providing reliable insights and measurable ROI

Focal has developed a ruggedized, cost-effective camera that scans your shelves hourly, allowing you to know exactly what is on your shelf. We have 4 mounting types which enable us to cover 100% of your store.

See Our Cameras in Action at NRF 2025 at Booth #1736

With 8% of revenue lost to out-of-stock issues and shopper dissatisfaction at an all-time high, the time to act is now.

Book a meeting with us at NRF 2025 to discover how Focal Systems
can help you:

Save 20% on NRF 2025 Registration!

As a valued guest of Focal Systems, you’re eligible for an exclusive 20% discount on NRF 2025 registration. Click below to claim your discount.

Wireless and
Battery-Powered:

  • Wifi-enabled, battery-powered cameras seamlessly integrate into your shelf.

  • Each camera covers approximately 8 feet of linear shelf space.

Effortless Installation:

  • Installation is quick and easy, with Focal capable of installing all cameras with just 2 people in one night.

  • Ideal for a typical 30k sqft store, requiring around 400 cameras.

Low Bandwidth Usage:

  • Combined camera usage consumes less bandwidth than a single standard IP Security Camera.

  • Ensures minimal network strain.

Long-lasting Battery:

  • Each camera's battery lasts for an average of 3 years.

  • Focal takes care of all maintenance and upkeep of the cameras.

AI-Powered Monitoring:

  • Focal's AI analyzes each image, detecting instocks, out of stocks, lows, planogram non-compliance, spoiled produce, and more.

  • The gathered information forms the foundation of downstream systems, empowering Focal to effectively "drive your store."

Focal shelf camera next to the price tag

Focal’s Shelf Cameras
digitize your stores hourly

Focal has developed a cost-effective, ruggedized shelf camera that scans your shelves hourly with high accuracy.

Focal’s AI runs on each image to detect ins, outs, lows, and more

Focal has developed the most accurate Deep Learning Computer Vision models in the retail industry, trained on over 2 billion labeled images captured from retailers around the globe from over 300,000 deployed cameras. First, these AI models scrub the images of all PII (Personally Identifiable Information) so no customer or employee image data is ever retained or tracked. Then, these AI models accurately detect ins, outs, lows, planogram non-compliance, restock events, and spoiled produce hourly. This data is fed downstream to all other applications to “drive the store” for you. If the AI detects an out of stock and inventory in the backroom, FocalOS adds the product to the picklist in Stocker Action Tool in order of Lost Sales. If no backstock, FocalOS orders more products. All restock events are tallied up per associate, so you can track productivity automatically.

image showing a shot of the shelf in the salesroom and backroom and how it is rendered in Focal's Stocker Action Tool

Focal’s Stocker Action Tool guides and prioritizes stockers automatically

By scanning in your entire salesfloor and inventory hourly, Focal takes all the “search time” out of the process. Our time and motion studies have proven that this causes a 2.5x speed up in productivity.

An infographic showing the workflow of automated precision ordering that helps increase sales and make lower shrink

AdaOrder increases sales and decreases shrink

By deploying Focal’s cameras to cover primary, secondary, topstock, and backrooms, Focal knows exactly what you have onhand and where it is. This allows for the first of it’s kind “Computer Vision-based” Perpetual Inventory System.

An infographic showing a workflow for automated prioritized replenishment that helps increase sales and improve labor efficiency

Focal automates Stocker management to increase productivity and sales

Focal’s shelf cameras are constantly updating FocalOS with the most real-time view of your stores. This feed Focal’s Stocker Action Tool which rank-sorts the outs by lost sales to ensure your team is always working the most important outs first. Once the stockers work the out, FocalOS validates that the work was done correctly and provides feedback automatically if the work was not done correctly. This dramatically improves stocker productivity.

An infographic showing a workflow for automated Merchandising that helps increase sales and improve labor efficiency

Focal AdaPOG leverages historical shelf digitization to adapt planograms on a per store basis

Focal detects “chronic outs” or SKUs that have less than 3 days holding capacity and make per store recommendations to increase facings in those SKUs and decrease facings on over-allocated SKUs to reduce outs, increase sales, and actually save labor.

Infographic demonstrating an automated e-commerce management workflow that helps improve labor efficiency and reduce subscriptions

Automate e-commerce platform management to reduce substitutions and increase productivity

By scanning in your entire salesfloor and inventory hourly, Focal can instantly update e-comm platforms to reduce substitutions and increase e-comm picker productivity.

Get Ready for NRF 2025

Join us at NRF 2025 to explore how Focal Systems’ AI-powered solutions are revolutionizing retail with real-time insights, seamless automation, and powerful tools for on-shelf availability.