portfolio / enabl
Retail Tech · Computer Vision
AI-Powered Eyes on Every Shelf, Verified in Seconds.
An AI-driven retail execution platform that connects brands and brokers with a network of field reps ("Enablers") who execute in-store merchandising missions and submit photo evidence directly from the shelf. Computer vision automatically reviews every photo against mission requirements, flags compliance gaps, and rolls results up into dashboards and exports — replacing manual review with instant AI-driven verification at scale.
Live demo · not a mockup
unicode-ai · enabl · live-demo
idle
COLA
WATER
EMPTY
CHIPS
JUICE
BAR
DETECTIONS
— / 6
Bounding boxes draw themselves around detected products, each with a compliance verdict — replay the scan any time.
The Challenge · Verifying Execution Without an Army of Reviewers
“
Brands running merchandising programs across thousands of stores had no fast way to confirm work was done correctly.
Manually reviewing field photos didn’t scale, compliance reporting was slow and error-prone, and brands lacked real-time visibility into store-level execution across distributed broker and rep networks.
Our Solution
Zetaton built Enabl as an end-to-end platform with AI at the center of the verification loop.
How We Built It
01
Brands could see whether a mission was assigned, but not whether it was done right — so AI would do the compliance verification heavy lifting, leaving admins to manage exceptions.
02
The interface was designed around the AI review workflow: field reps see clear photo-by-photo requirements; admins get a review queue where AI insights surface per image.
03
The AI photo pipeline was built alongside mission management, geospatial control, and reporting — all on Firebase for real-time sync, with Algolia powering instant search.
Platforms Available
WEB
Admin and brand dashboard for mission creation, AI-reviewed compliance monitoring, broker management, and reporting.
FIELD APP
The interface field reps use to receive missions, capture photo evidence, and get instant AI feedback on submission quality.
Product Screenshots
A walkthrough of the core Enabl surfaces — the web platform where teams plan missions and review AI photo verdicts, and the field app enablers use in-store.
Tech Used
Web Framework
React 18 (CRA)
Redux Toolkit
Backend
Firestore
Firebase Auth
Cloud Functions
Cloud Storage
Node.js
AI / Vision
CV photo analysis
Automated field verification
Search
Algolia
Mapping
Google Maps
Places
Geocoding
Clustering
Payments & Reports
Stripe
ExcelJS
React-PDF
Key Features
Analyzes field photos against per-mission requirements, flags non-compliant submissions before they reach an admin, and surfaces per-image AI insights.
<2s
avg review
Generates targeted store lists automatically for new missions, cutting manual setup time when launching multi-store campaigns.
1000s
of stores
Live cluster-based map view of stores and active missions, with map-based mission and store creation for fast rollout.
live
cluster map
AI-reviewed results compiled into Excel and PDF exports, with embedded photo evidence for retailer-facing proof of execution.
XLS+PDF
with evidence
Other Screens
Owned & shipped by Zetaton
We design, build, and ship AI products end-to-end — and put them in production with metrics you can point at.