Smarlook On-Device Image Recognition built for instant Retail Execution results.
No cloud, no delays, total control.
SmartLook works fully On-Device, providing your team real-time shelf intelligence allowing Retail Execution and Compliance on the spot.
No internet, no delays, no data transfer.
ABOUT SMARTLOOK
On-Device Image Recognition that helps field force in the real time.
At SmartLook, we believe Image Recognition should be real-time, secure, and always available—right at the edge. That’s why we built a powerful recognition engine that integrates into any mobile SFA app, enabling shelf audits, price checks, and promo and planogram compliance directly on the device, with no cloud dependency or internet required.
SmartLook is designed for today’s complex retail conditions whether it’s a metro store or a rural shop with no signal
Real-time edge computing
Results are ready within few seconds
Offline Capability
No internet dependency
Seamless integration
Easy integration to any existing Mobile App
Error-proof
Ability to correct photo errors in the store
the challenge
Why traditional retail audits and should be cloud-based IR Solutions fall short
Field teams waste hours uploading photos, syncing data, and waiting for results—often with high error rates and execution gaps. Cloud platforms only shift the delay, not solve it.
Up to 70% of audit time is lost to photo upload, transfer, and processing
Cloud IR systems depend on image transfer and server side processing leading to delays in real time environments.
Over 30% of shelf recognition reports contain attribution or positioning errors
Cloud IR services often incorrectlky recognize SKUs and Prices due to the photo errors, such as aspect or blur, leading to innacurate KPIs or more time spent in store
Retail teams report 40–60% failure rates in low-connectivity locations
Cloud models often misattribute SKUs or misread shelf layouts due to compressed image quality, low bandwidth environments, or sync issues.
Result Delays up to 24 hours from
capture to insights
By the time cloud recognition results are returned and reviewed, products have moved and execution windows are lost.
$12B+ lost annually to poor shelf execution and delayed reaction time
Brands miss key KPIs due to slow corrections and limited visibility during instore campaigns.
The Old Way
Manual or Cloud Based Recognition
- Manual photo-taking and syncing
- Data uploads and cloud delays
- Internet-dependent results
- Slow retraining cycles
- Errors due to latency and transfer issues
- Photography errors leading to incorrect data
The SmartLook Way
On Device, Real Time AI
- instant recognition and shelf analysis with results in seconds
- Works fully offline no cloud uploads, no connection needed
- Private & secure no data leaves the device
- Lightweight AI modelsÂ
- Automatic retraining & deployment faster iteration cycles
- Lower infrastructure cost no heavy backend or servers
Meet SmartLook
Say hello to instant, On-Device shelf audits
SmartLook delivers cutting-edge, on-device image recognition that analyzes product shelves in real-time—no internet, no delays. Whether you’re validating SKUs, prices, promo or planogram compliance, SmartLook provides fast, accurate insights directly on your mobile app, even offline.
On-device AI shelf recognition
Our compact AI engine runs directly on mobile devices, enabling fast and accurate recognition of SKUs, price tags, and layouts without the cloud.
Real-time shelf insights
SmartLook instantly processes shelf images to identify gaps, compliance issues, or pricing errors empowering reps to act on the spot.
Offline cloud-free operation
No internet? No problem. All processing happens locally, so audits can be performed anywhere with zero data transfer or delays.
Built for mobile-first integration
SmartLook is designed as a lightweight SDK for iOS and Android, allowing seamless integration into any existing SFA or retail execution app.
SKU & price detection
Detect SKUs and associated price tags in one pass using advanced OCR and visual attribution—optimized for crowded shelf environments.
Duplicate filtering & clustering
Our AI automatically filters out duplicate captures and groups similar products to ensure clean, reliable reporting from the field.
Product
- SKU
- Facings
- New design/launches
Price
- Digital and Printed price
- Pricing accuracy
- Pricing Tag positioning
Placement
- Planogram compliance
- Brand Block
- Displays, coolers and other equipment
Product
- POSM
- Promo prices
- Promo displays
How it Works
How Smartlook works
See how SmartLook delivers real-time retail intelligence in just seconds.
Step: 1
Snap the Shelf
Use your phone’s camera to capture a photo of the shelf no extra hardware, no setup. Just point and snap.
Step: 2
AI Analyzes On Device
SmartLook instantly detects SKUs, price tags, shelf gaps, and planogram compliance directly on the mobile device—without needing internet or cloud upload.
Step: 3
Get Instant Results
Results are available in seconds: shelf share, compliance status, pricing accuracy, and more. All visible on-screen and ready to act on in real-time.
Why Choose
Why SmartLook?
Built for field execution teams, SmartLook delivers fast, offline shelf insights without infrastructure complexity or cloud dependency. Trusted by global retail and CPG leaders.
Works 100% Offline
SmartLook performs all recognition directly on the mobile device—no internet, no cloud uploads, no delays. Audit any shelf, anywhere.
Privacy by Design
All data stays on the device. SmartLook never stores or transmits images—ensuring full compliance with enterprise and regulatory privacy standards.
Embedded SFA Integration
SmartLook is delivered as a lightweight Android & iOS SDK, making it easy to embed into any existing Sales Force Automation app with just 16 hours of development effort.
Runs on Any Android or iOS Device
SmartLook’s lightweight engine is fully compatible with both Android and iOS smartphones and tablets. No special hardware required—just a standard mobile device with a camera.
Proven impact. measurable results.
SmartLook helps retail teams move faster, cut costs, and make smarter decisions — powered by real-time AI performance you can trust.
Faster Audits
Enterprise grade accuracy
Operational Savings
Frequently Asked Questions
Got questions? we've got answers.
Q1 How does SmartLook help reduce time spent on audits?
Traditional audits can take hours due to manual photo capture, note-taking, and post-processing. SmartLook streamlines this process by automating shelf scanning and real-time analysis—cutting audit time by up to 70% using on-device AI.
Q2 Can SmartLook function in stores with no or weak internet?
Yes! SmartLook is fully offline. It runs directly on the device without needing cloud connectivity, allowing your field teams to audit confidently—even in rural or low-connectivity areas.
Q3 Does SmartLook work with our existing SFA or retail execution app?
Absolutely. SmartLook is a lightweight SDK (under 5MB) that seamlessly integrates into any Android or iOS SFA app. Integration typically takes less than 16 hours of development time.
Q4 How accurate is SmartLook for price tags, shelf share, and compliance?
SmartLook achieves up to 98% accuracy in SKU detection and shelf analysis. Its deep learning models are trained specifically for retail environments, product packaging variations, and shelf dynamics.
Q5 What happens to the photos and data captured during audits?
SmartLook prioritizes data privacy. It does not store or transmit images. All recognition and processing happen entirely on-device—keeping your data safe and secure.
Q6 Can SmartLook support price and promo compliance checks?
Yes. SmartLook identifies product positions, price tags, and any mismatches between planograms and reality. It automatically flags incorrect pricing or product placement during the audit.
Q7 What’s needed to deploy SmartLook across our field team?
Deployment is fast and hassle-free. SmartLook runs on standard Android and iOS devices—no special hardware required. Once integrated, it’s ready to use with minimal training.
Q8 How does SmartLook stay accurate over time?
SmartLook is built on a continuous delivery framework. It regularly updates its recognition models using fresh field data to stay current as new SKUs, packaging, and store layouts evolve.