AI THAT UNDERSTANDS
PHYSICAL OPERATIONS.
Turn cameras, sensors, operational systems, and physical workflows into real-time intelligence for enterprise QSR, Retail, and Manufacturing.
YOUR ENTERPRISE ALREADY HAS THE DATA.
IT NEEDS INTELLIGENCE.
Enterprise QSRs, retailers, and plants already generate massive volumes of physical data every day through cameras, POS registers, and sensors. Most of it goes unread — operations stay fragmented and reactive instead of continuously understood.
Unused Visual Data
The large majority of CCTV video streams are recorded, overwritten, and never analyzed until after an operational failure has already occurred.
Silent Margin Shrink
Unscanned checkout items, drive-thru slowdowns, and non-compliant food prep slip past periodic manual audits unnoticed.
Disconnected Systems
POS data, inventory management, and camera feeds operate in isolated silos without a unified operational context.
The Proglint Approach
Converts existing physical data streams into real-time contextual decisions and automated operational actions — no new cameras required.
FROM SEEING TO UNDERSTANDING. FROM UNDERSTANDING TO ACTION.
Detection is only the beginning. Proglint connects physical retail, kitchen, and plant events directly to automated enterprise workflows.
Physical Signal Acquisition
Ingests existing camera feeds, POS event triggers, ambient sensors, and operational telemetry — no new hardware required.
Computer Vision & Contextual AI
The production algorithm library evaluates spatial activity, item attributes, and procedural compliance, running on edge or cloud GPU inference depending on the deployment.
Automated Enterprise Operations
Triggers instant store alerts, updates kitchen display prep timers, flags cashier discrepancies, or routes an incident to the Enterprise Command Center.
WHAT PROGLINT UNDERSTANDS.
The 75+ production algorithms in the library organize every physical interaction in a store, kitchen, or plant into 6 operational domains.
PEOPLE
Track visitor traffic, age/gender estimation, table occupancy dwell times, and flag customer bounce (customers exiting without purchase).
PRODUCTS
Real-time empty shelf detection, mobile inventory stock verification, out-of-stock alerts, and planogram compliance.
PROCESSES
Enforce handwash sanitization SOPs, vessel cleaning protocols, equipment maintenance, and 24/7 machine active/idle state tracking.
TRANSACTIONS
Detect food prepared/served without POS bill generation, reconcile UPI digital payments, and monitor unauthorized cash till access.
EQUIPMENT
Track end-to-end drive-thru vehicle journey, order serving performance, conveyor speed, and equipment maintenance status.
ENVIRONMENT
Audit 6-point PPE compliance (Helmet, Goggles, Mask, Gloves, Uniform, Shoes), spill hazards, un-mopped floors, and non-business hour intrusion.
WHAT MOST ENTERPRISES
DON'T SEE UNTIL IT'S MEASURED.
Recurring operational blind spots across QSR, Retail, and Manufacturing — the patterns that shaped what Proglint's algorithm library is built to catch.
Visual Data Loss & Unmonitored Blindspots
OBSERVATION:The large majority of enterprise CCTV video feeds are overwritten without ever being analyzed, leaving critical operational breakdowns hidden until profit margins suffer.
The Friction of Manual Store & Line Audits
OBSERVATION:Periodic manual audits only sample a small fraction of operational activity, missing phone usage on active floors, handwash SOP skips, and un-mopped spill hazards.
POS-Visual Discrepancy & Revenue Leakage
OBSERVATION:Unrecorded voids, un-billed food prep, and self-checkout ticket swapping are a persistent, largely unmeasured source of margin leakage in retail and QSR chains.
Zero-Touch Industrial Quality Inspection
OBSERVATION:Manual inspection fatigue on high-speed conveyors leads to scrap escapes and costly OEM warranty claims.
AI Built Around Business Problems
Detection Is Only the Beginning.
Eight solutions, each built for a specific operational problem — from revenue leakage to workplace safety — not a generic detection feed.
Loss Prevention & Revenue Protection
Flag un-billed food prep, sweethearting, self-checkout shrink, and unauthorized cash till access in real time.
Customer Journey & Spatial Intelligence
Track footfall, visitor demographics, customer bounce, table occupancy, and trial room queue times.
Store & Kitchen Operations
Drive-thru vehicle timers, order serving performance, hygiene SOP compliance, and specialized pizza quality grading.
Shelf Intelligence & Inventory Monitoring
Real-time empty shelf detection and mobile-assisted stock verification to close the gap between what's on the planogram and what's actually on the shelf.
Smart & Cognitive Checkout
Self-checkout loss prevention and barcodeless cognitive checkout — detecting non-scanned items, ticket switching, and enabling frictionless product recognition.
Quality & SOP Compliance
Continuous verification of hygiene SOPs, sanitization protocols, and equipment maintenance routines — across QSR, retail, and manufacturing floors.
Safety, Security & Access Monitoring
6-point PPE compliance, non-business-hour intrusion detection, restricted access alerts, and cash desk security.
Industrial PDI, UT Digitization & PPE Safety
Ultrasonic Testing (UT) graph digitization, overhead conveyor PDI attribute extraction, 6-point PPE compliance, and machine utilization.
Industries in Action
Built for the Physical Reality of Each Floor.
QSR kitchens, retail stores, and manufacturing plants each generate different operational signals. Proglint is architected per-industry, not retrofitted from a single generic model.
QSR & Fast Casual Dining
Proglint turns QSR dining rooms, kitchens, prep stations, and drive-thru lanes into actionable operational metrics. Boost throughput, enforce hygiene, and eliminate order discrepancies.
Measure vehicle arrival, window wait time, and departure timers.
Validate topping distribution, crust geometry, bake level, and size.
Identify and flag visitors who exit without making a purchase.
Ensure digital payments match POS bills before order fulfillment.
The AI validates ingredient presence and distribution in real time, grading pizzas as Acceptable or Non-Standard before boxing.
Every capability here traces back to a production-deployed model, not a lab demo.
The 75+ algorithms behind Proglint aren't a black box. See the engineering methodology — flexible edge or cloud GPU inference, purpose-built models per use case, zero-touch pipeline design — and the applied deep-dives behind specific capabilities like the Pizza Analyzer and the SPDR zero-touch inspection pipeline.
Explore AI ResearchA computer vision classifier that inspects topping distribution, crust geometry, and bake level in the seconds between assembly and boxing — fast enough to fit inside an existing prep workflow rather than adding a step to it.
Finished components travel vertically on an overhead chain conveyor; the GPU pipeline triggers automatically as each part enters a defined inspection bounding box — no manual capture, no operator involvement.
Around heavy bore-machining equipment, a 6-point PPE classifier and a machine-state classifier run continuously in the background — not as a periodic safety walk, but as an unbroken monitoring signal.
ONE COMMAND CENTER FOR EVERY OPERATION.
The power of data convergence: millions of isolated physical events synthesized into one searchable, real-time enterprise command center.
| Serial / Item ID | Inspection Status | Workflow Status | Timestamp |
|---|---|---|---|
| WHEEL-7389-AB | Accepted | Completed | 2026-08-21 15:42 |
| WHEEL-9012-CD | Accepted | Completed | 2026-08-21 15:40 |
| QSR-ORDER-204 | Flagged (Unbilled Pass) | Incident Logged | 2026-08-21 15:38 |
How to Think About ROI Before You Have Our Numbers.
No invented percentages here — a qualitative framework for evaluating impact, honest about what changes and why, until deployment-specific figures are measured.
Cost of Manual Monitoring
Camera coverage and operational visibility are not the same thing. Footage that is recorded but never analyzed is a passive archive, not a monitoring system — it only becomes useful after an incident is already reported through some other channel, and by then the operational moment has passed. The gap enterprises pay for isn't a lack of cameras; it's the absence of continuous analysis on the cameras already installed.
Labor Reallocation
Manual audits and spot-checks are staff time spent watching for problems that may or may not be happening at that moment. Periodic sampling means most operational activity goes unobserved between walks. When continuous monitoring takes over the watching, that staff time can move toward service, merchandising, and responding to the alerts the system actually raises — work that requires judgment, not attention span.
Shrink & Revenue Leakage Exposure
Unrecorded voids, un-billed food prep, and self-checkout ticket swapping share a common trait: none of them leave a record in the systems built to catch loss. A POS system can't flag a transaction that never happened. Exposure exists whether or not it is measured — continuous correlation between visual activity and transaction records is what makes it visible and actionable instead of a line item nobody can explain.
Speed of Incident Response
Without evidence-linked alerts, investigating an incident means someone pulling footage, reviewing it manually, and cross-referencing it against whatever records exist — a process that can take days for something that took seconds to happen. When an alert already arrives paired with the relevant video clip and the matching POS or sensor record, that investigation collapses to a pre-packaged case instead of a search.
Quality & Compliance Risk Reduction
Manual inspection fatigue on high-speed lines and periodic SOP audits share the same structural weakness: both only observe a sample of what actually happens, and both are vulnerable to attention lapsing over a long shift. Continuous, criteria-consistent monitoring doesn't replace inspector judgment on ambiguous cases — it removes fatigue as the last line of defense against an obvious miss.
Safety & Liability Exposure
Periodic safety walks and manual PPE checks observe a facility at a single point in time; a violation that occurs between walks goes unrecorded unless it results in an incident. Continuous PPE, hazard, and access monitoring turns safety compliance into an ongoing signal rather than a periodic checkpoint, narrowing the window between a violation occurring and someone being aware of it.
HOW THE WORKFLOW PLAYS OUT END TO END.
Composite scenarios illustrating how each solution's workflow runs in practice — not named customer results. Real deployment figures will replace these as they're measured.
Illustrative Scenario: Multi-Unit QSR Network Tackles Drive-Thru Speed of Service
CHALLENGE:Long drive-thru lines during peak lunch hours were causing vehicle drive-aways and lost revenue across a multi-unit franchise network.
Illustrative Scenario: Supermarket Chain Addresses Self-Checkout Shrink
CHALLENGE:Rising self-checkout shrinkage from unscanned items and ticket swapping was an increasing concern for a multi-location grocery chain.
Illustrative Scenario: Component Manufacturer Deploys Zero-Touch Visual Inspection
CHALLENGE:Manual inspector fatigue on a high-speed conveyor created a risk of sub-millimeter surface defects escaping to assembly.
READY TO TRANSFORM YOUR PHYSICAL OPERATIONS?
Schedule a customized demonstration with our enterprise AI engineering team. Discover how Proglint deploys across 2,500+ locations with zero camera teardowns.