On-Device AI Platform for Retail

One AI platform for every device in your store

Product recognition, loss prevention and real-time store intelligence, piloted on the hardware you already own. Any device, any OEM. No cloud round-trip.

Edgify-native: no cloud dependency Privacy-first: data stays in store 12-week pilot: on your existing hardware

Trusted by the world's leading grocers

REMA 1000 Sainsbury's Shufersal Waitrose Marks & Spencer Bónus Strack & Van Til
2,042Stores live
8,000+Production devices
12Countries
400M+Real-world retail samples
98.9%Recognition accuracy
The Problem

Your store generates intelligence every second.
Today, it's lost.

Shrink

A massive profit leak

Retailers lose a significant share of net sales across self-checkout, scales, POS, inventory and waste workflows, and most of it goes undetected in real time.

Cloud

Too slow, too costly in the store

Cloud and server-based AI adds latency, bandwidth cost and privacy risk. Real-time intervention at the checkout can't wait for a round-trip.

Silos

Fragmented store signals

Vision, transaction, scale and sensor data sit in disconnected systems, preventing real-time action and measurable ROI.

Flagship Application

Loss Prevention,
built into every lane

Always-on, in-store AI that detects and intervenes on loss events as they happen, running on the checkout hardware you already own, so a pilot needs no new capital spend.

  • Detects non-scans, barcode switching, mislabels and items left in carts in real time
  • Flags suspicious assisted transactions and sweethearting at staffed lanes
  • Intervenes autonomously or alerts staff, before the transaction completes
  • Measures prevented loss with built-in ROI reporting
85%+of retailer loss recovered
Real-timeintervention at checkout

How loss prevention works

Recorded in store · loss prevention

Live capture: an item enters the bagging area without a corresponding scan. Edgify flags it and prompts the shopper to re-scan before the transaction can complete.

Scan & Detect

Edgify analyses every checkout interaction in real time

Event Detected

Item placed in bagging area without being scanned

Intervention

Shopper is prompted on-screen to re-scan

Loss Recovered

Item re-scanned; event logged and measured

Product recognition · fresh produce

Loose produce being identified on a self-service scale

Recognised: unpackaged produce identified through a plastic bag on an existing self-service scale, no barcode, no manual lookup, no code sheet.

Flagship Application

Product Recognition,
without the barcode

Instant, barcodeless identification of fresh produce and unpackaged items, on self-service scales, scanners, self-checkout and staffed lanes.

  • Recognizes items automatically, even in plastic bags, eliminating manual lookup
  • Cuts mislabeling and false selections, protecting margin on fresh categories
  • Accelerates checkout throughput and store productivity
  • Runs on your existing scales and scanner hardware
5xfaster checkout
69%less mislabeling

How recognition works

Colleague weighing fresh items on a self-service scale

Waste Management

Identify and record discarded items in back-of-house operations for accurate waste tracking and replenishment decisions.

Warehouse colleague scanning stock with a handheld device

Inventory Accuracy

Improve weighing and packing accuracy across e-commerce fulfilment, prepackaged foods and back-of-house.

Store associate verifying shelf stock with a handheld scanner

Operational Verification

Real-time validation across checkout, food service and fulfilment workflows. One intelligence layer, many use cases.

See It Working

Two minutes inside a store running Edgify

Non-scans and barcode switches caught at the lane, produce identified without a code, and the reporting the finance team actually reads.

Edgify product overview · 2:00 · sound on

The Engine Underneath

Every application runs on the same engine:
the Edgify MLOps platform

Edgify connects, orchestrates, learns from and runs inference across every device in your estate, regardless of manufacturer. From device orchestration to an MCP server layer for AI agents.

Application & Agent IntegrationOpen APIs · workflow triggers · retailer & vendor apps · AI agents  MCP-ENABLED
Edgify MLOpsModel lifecycle · training · validation · inference · monitoring · OTA updates
Unified Real-World DataEvents · telemetry · context · governance · privacy
Device & Data OrchestrationDiscover · onboard · configure · secure comms · fleet management
Your existing devices: scales, scanners, SCO, POS, cameras, handhelds. Any manufacturer

Certified on hardware and software from

Zebra Dell Bizerba Avery Berkel Hobart StrongPoint flooid Flytech

The Self-Learning Flywheel

Every retail interaction becomes a labeled learning event. Models improve in production: no manual annotation, no raw data leaving the store.

01Launch Pilot

Deploy on existing scales, scanners or SCO with an initial production model

02Interactions Create Labels

Customer and staff confirmations automatically generate training data

03Learn Locally

Devices improve models in-store using on-device compute

04Share Learning, Not Data

Model learnings spread across the estate; sensitive data stays local

05Validate & Redeploy

Improved models are monitored and pushed back to the whole fleet

Agent-Ready Infrastructure

The data AI agents need doesn't exist in the cloud

Agents can already read your ERP, your tickets and your dashboards. What they cannot see is the store floor: what was actually picked up, weighed, scanned, mislabelled or put back. Edgify exposes that live operational reality through an MCP server layer, so any agent can query the estate in real time.

  • MCP server surfaces device state, recognition events and intervention history as structured tools
  • Agents query the estate without direct access to raw imagery or shopper data
  • Same permissioning and residency guarantees as the rest of the platform
  • Works with retailer-built agents, vendor agents and third-party assistants

Read the platform architecture

AI agents & assistantsRetailer-built · vendor · third-party
MCP
Edgify MCP serverStructured tools over live estate state
list_devicesget_eventsmodel_statusintervention_log
Internal
Edgify MLOps platformInference, training and telemetry across the estate
On device
Store hardwareScales · scanners · SCO · POS · cameras · handhelds

The whole estate,in real time

The Edgify console showing recognition accuracy, transaction volume and precision across a store estate

Built for estates at scale

Ship a new model to every device in the estate without touching one of them. Onboarding, validation and rollback run over the air, store by store, on the hardware already on the floor.

  • Email and web support
  • Zero-touch device onboarding
  • Fleet monitoring and analytics
  • Architecture and rollout review
Why Edgify · Why Now

The AI your store needs can't live in the cloud

Runs on What You Own

Works on 80%+ of existing hardware across 40+ OEMs. No rip-and-replace, no server rooms.

Privacy by Design

Data is processed and stays on the device. Secure, compliant, enterprise-ready.

Real-Time by Default

Decisions happen at the point of action: no latency, no bandwidth cost, no cloud dependency.

Ready for AI Agents

AI agents need live, real-world operational data. Edgify's MCP layer delivers it, straight from the store floor.

Proven in Retail. Built to Go Further.

Retail is the proof, not the ceiling

The same platform that recognizes produce and prevents loss at checkout extends across the store, the warehouse, and beyond retail entirely. Status below reflects what is in production today, not aspiration.

Checkout & Front of StoreLive Today
Back of House & WasteLive Today
Warehouse & FulfilmentIn Deployment
Transport & LogisticsNot Yet Deployed
ManufacturingNot Yet Deployed
Testimonials

What our customers and partners say

Retailers

"Edgify can identify any barcodeless item, even inside plastic bags, it's quite incredible. It makes checkout so much faster and we've noticed a big reduction in shrinkage."
Shai VardiShai VardiCTO, Shufersal
"Customers can effortlessly scan their items as they shop. The AI scale ensures accurate product recognition and pricing, improving efficiency and reducing errors."
Steinar KristjánssonSteinar KristjánssonCIO / Retail IT Manager, Bonus Iceland
"We saw immediate benefits when we integrated Edgify to our self-service scales. It streamlined the whole check out process and the accuracy is really impressive."
Richard F. WebberRichard F. WebberDirector of Information Technology, Strack & Van Til

Hardware partners

"Every AI vendor talks about shrink, but the retailer's real question is what it costs to find out. Because Edgify is embedded on Zebra hardware, the trial cost is a fraction of a traditional computer vision deployment and the payback case is measured in months, not years."
Mark ThomsonMark ThomsonRetail Strategy Director, Zebra Technologies
"Edgify has been running on Bizerba scales in hundreds of US grocery departments for close to three years, across fresh produce, prepared foods and bakery, with deli and meat now following. For our customers that means faster service, fewer mislabels and a measurable drop in shrink and labelling errors."
Rob WeiszRob WeiszVice President of Retail, North America and UK, Bizerba

See your store through Edgify's eyes

A 12-week pilot on the hardware you already own. Measurable ROI, from day one.