Curated List of SaaS Products & Open-Source GitHub Projects
Focused on Retail Shelf Monitoring, Planogram Compliance, Out-of-Stock Detection, Share of Shelf & Computer Vision for CPG/Retail Execution
🗓️ Last updated: September 2026
This repository tracks notable SaaS platforms and open-source computer vision projects dedicated to Shelf Intelligence, Planogram Compliance, and Retail Execution. Enterprise shelf monitoring systems leverage advanced artificial intelligence, dense object detection models (such as YOLOv8/YOLO11 fine-tuned on SKU-110K), vector embeddings, and autonomous store robotics (e.g., Simbe Tally) to transform store shelf imagery into real-time operational insights for CPG brands and retail operators.
- 🏢 SaaS/Hosted Platforms
- 💻 Open-Source GitHub Projects
- 🛠️ Key Frameworks & Datasets
- 🤝 How to Contribute
⚠️ Disclaimer- 📈 Star History
📊 Market Insights: The global Retail Shelf Intelligence & Computer Vision market is estimated at $3.2 Billion in 2026 (projected to reach $8.5 Billion by 2030 at a CAGR of 21.4%). The sector is moderately fragmented, with enterprise category leaders (Trax, Scandit, Simbe) competing alongside specialized vertical planogram and retail execution SaaS platforms, rather than a single winner-take-all monopoly.
Note: The table below is sorted by Company Size (Valuation / Revenue) in Descending Order. ⬇️
| 🏢 Platform / Product | 📝 Description | 💰 Pricing (Starting Tier) | 🎁 Free Tier / Free Trial Limits | 📊 Company Size (Valuation / Rev) |
|---|---|---|---|---|
| Trax Retail | Global retail execution and image-recognition platform for shelf analytics, planogram compliance, and share-of-shelf. | $1.00 / store audit (baseline audit unit pricing) | 14-day proof-of-concept pilot (limited to 1 store location & sample SKU catalog) | ~$1.3B Valuation / $100M+ Rev |
| Scandit ShelfView / SDK | Mobile computer-vision SDK enabling shelf barcode scanning, shelf-scene recognition, and audit workflows. | $199 / month (Scandit Express / SDK starting tier) | 30-day free trial (includes full Data Capture SDK test license key & 100 test scans) | ~$1.0B Valuation / $50M+ Rev |
| Caper AI (Instacart) | Computer-vision smart cart and retail recognition platform tracking product selection and shelf availability. | $250 / cart / month (Smart cart hardware & AI subscription) | 30-day in-store pilot trial (up to 5 smart carts for customer evaluation) | ~$350M Valuation (Parent $10B+) |
| Simbe Robotics (Tally) | Autonomous shelf-auditing robot using computer vision to scan store shelves for out-of-stocks, price errors, and planogram drift. | $2,000 / month per store (Robotics-as-a-Service model) | 30-day pilot program (includes initial store mapping and automated shelf scan trial) | ~$200M Valuation / $20M+ Rev |
| Focal Systems | AI shelf-camera platform continuously monitoring on-shelf availability, planogram compliance, and out-of-stocks. | $200 / store / month (AI software & shelf camera tier) | 30-day store pilot (includes hardware setup and shelf monitoring for up to 2 aisles) | ~$150M Valuation / $15M+ Rev |
| ParallelDots ShelfWatch | AI-powered shelf monitoring and retail execution platform turning shelf images into actionable compliance data. | $500 / month (Starter pilot subscription tier) | 7-day proof-of-concept pilot (sample image recognition analysis up to 50 shelf photos) | ~$50M Valuation / $8M+ Rev |
| Repsly | Mobile retail execution and field audit platform for tracking on-shelf availability, shelf photos, and brand compliance. | $29 / user / month (Field Audit starting tier) | 14-day free trial (full feature access for up to 5 field representatives) | ~$40M Valuation / $12M+ Rev |
| PlanoHero | AI-assisted SaaS platform for planogram creation, shelf layout automation, and retail store compliance tracking. | $199 / month (Lite Plan) | 14-day free trial (supports up to 5,000 SKUs & 100 planograms, no credit card required) | ~$25M Valuation / $5M+ Rev |
| Quant Retail | Retail space planning and planogram management solution offering automated shelf layout and store floor planning. | €1,200 / user / year (~$110 / mo equivalent, Quant Basic) | 30-day free trial for Quant Basic (or 14-day free trial for Quant Planogramming) | ~$20M Valuation / $4M+ Rev |
| Planorama / Teamcore | Specialized retail execution and shelf-intelligence solutions serving regional markets with image recognition. | $150 / user / month (Field rep audit app starting tier) | 14-day evaluation trial (up to 3 field users and 50 audit images) | ~$20M Valuation / $4M+ Rev |
| DotActiv | Cloud-based planogram and shelf space management software with retail analytics and automated layout generation. | $70 / user / month (Lite Plan) | Free Forever plan (limited to 40 products per single-drop planogram) or 14-day free trial on paid plans | ~$15M Valuation / $3M+ Rev |
| PlanogramBuilder | 3D and 2D web-based planogram creation tool for visual merchandising, shelf layout, and product positioning analysis. | $524 / year (~$44 / mo equivalent, Light 2D license) | 30-day free trial (access to full feature set with watermarked exports, no credit card required) | ~$10M Valuation / $2M+ Rev |
| Shelf Logic (ProView) | Visual planogram and shelf layout software for store managers, CPG reps, and merchandising teams. | $14.99 / month (ProView Small cloud subscription) | Free trial edition (unlimited duration, watermarked planogram view & export, saving disabled) | ~$5M Valuation / $1M+ Rev |
Note: Repositories below are sorted by GitHub Star Count (Descending). ⬇️
-
ultralytics/ultralytics
⚡
Leading real-time object detection framework supporting YOLOv8 and YOLO11 fine-tuning, dense object detection, and benchmark inference on the SKU-110K retail shelf dataset. -
SKU110K_CVPR19
📸
Official CVPR 2019 dataset and object detection benchmark for densely packed retail shelf scenes with overlapping SKU items and dense visual clutter. -
Retail-Shelf-Monitoring
🔍
Real-time retail shelf monitoring system using computer vision and machine learning to detect out-of-stocks, misplaced items, and support planogram compliance analysis. -
StoreEye
👁️
Open-source, brand-agnostic FMCG shelf intelligence platform aimed at shelf visibility, planogram compliance, and competitive share-of-shelf analytics. -
Shelf Management (academic pipeline)
📚
Deep-learning codebase and dataset accompanying research on shelf visual monitoring, product recognition, and planogram-related tasks. -
cvpce – Planogram Compliance Evaluation
📊
Computer-vision toolkit focused on evaluating planogram compliance from shelf images (research/academic origin). -
Empty-Shelf-Alert-System
⚠️
Production-ready YOLO11 empty shelf detection and automated out-of-stock notification pipeline using weakly-supervised relabeling. -
AWS / cloud guidance samples
☁️
Reference architectures and sample code for planogram generation and compliance checking using cloud AI services (Amazon Bedrock).
- 🎯 Object detection frameworks: YOLOv8, YOLO11, Detectron2, and torchvision models fine-tuned on dense retail imagery.
- 🔍 Feature extraction & retrieval: CLIP embeddings, ResNet/MobileNet feature vectors, paired with FAISS or Qdrant for SKU visual matching.
- 📦 Dataset resources: Public shelf datasets (SKU-110K, Grozi-3.2k, RPC) used to benchmark product localization algorithms.
- 🏷️ Annotation & Labelling tools: Label Studio and CVAT workflows supporting shelf product bounding boxes and polygon segmentation.
- ⚡ Edge deployment: TensorRT, TFLite, and ONNX runtimes for running shelf monitoring models on store cameras or mobile devices.
- Fork the repository.
- Add or edit entries in
README.mdfollowing the tabular format. - Include: name, link, concise description, starting price, free trial limit, and market valuation/revenue details.
- Submit a Pull Request with a clear explanation of your additions.
⭐ Star the repo if you find it useful for retail vision and shelf analytics!
- This is a community-curated list — for informational purposes only.
- Commercial shelf intelligence systems govern retail compliance, supplier SLA enforcement, and inventory auditing. Accuracy, light sensitivity, and camera positioning must be thoroughly validated in real store conditions.
Curated for CPG Brands, Retail Execution Leaders, Computer Vision Engineers & Store Ops Teams
Reference list maintained by Awesome-Awesome-Awesome.