Count, identify, or verify physical items from camera or image input. This comparison covers products mapped to the task specifically in Retail & Ecommerce.
Market observation
Merchandise recognition, shelf verification and visitor counting are distinct retail workflows. Mashgin has the clearest deployment evidence. No candidate supplies price amounts; adoption and pricing scores reflect documentation, not presumed product quality.
SOTA2 collected 12 companies and 17 products with explicit evidence for this task in Retail & Ecommerce. That vertical evidence is what makes this more useful than a general product list.
The products still have to prove task fit, adoption, product maturity, and pricing—the industry label alone does not improve their position.
Ranked comparison
We compared 17 products from 12 companies and show the first 10 positions below.
AI-powered checkout using computer vision and machine learning to instantly identify items without barcodes.
Why #1
Computer vision directly identifies checkout items without barcodes; company evidence reports 5,000+ locations and 40M+ monthly users.
Counts specific objects from images automatically and returns structured outputs including total count, confidence score and optional overlays.
Why #2
Directly counts specified objects from images and returns totals, confidence scores and optional overlays, providing the clearest explicit counting outputs.
Uses artificial intelligence to scan products on shelves with high accuracy, aiming to increase availability and sales while lowering operational costs.
Why #3
AI scans shelf products, supported by company evidence describing computer-vision shelf intelligence and hourly shelf digitization.
Smart cart solution using computer vision to automatically identify products inserted or removed.
Why #4
Computer vision identifies products inserted into or removed from carts, presents the bill and enables checkout directly on the cart.
AI-powered self-service scale solution that retrofits traditional scales to automatically recognize fresh products including fruits, vegetables, grains, and nuts—even when bagge...
Why #5
Retrofits traditional scales with AI recognition for fruits, vegetables, grains and nuts, including bagged goods.
Structured photo and video capture with computer vision to verify planogram, facing, placement, and promotion compliance for field representatives.
Why #6
Uses structured photo and video capture with computer vision to verify planograms, facings, product placement and promotion compliance.
AI-powered people counting system using existing security cameras.
Why #7
Counts visitors using existing security cameras, excludes employees and repeat visitors, and integrates with POS/ERP systems for conversion analysis.
AI marketing solution that analyzes CCTV footage to measure store performance and visitor data, including people counting, visitor flow, behavior, product interest, and popup-st...
Why #8
Analyzes CCTV to count people and measure visitor movement, behavior and pop-up effectiveness; Korean PIPA compliance is listed.
Edge-based video analytics available on Axis cameras, supporting up to 200 channels per server with simultaneous intrusion detection, suspicious incidences detection, and counti...
Why #9
Provides counting features on Axis-camera edge analytics and explicitly lists retail intelligence. The company reports installations in 30+ countries, and a free trial is available.
Extracts actionable insights from pre-purchase data in offline retail stores using privacy-protected Vision AI.
Why #10
Combines privacy-protected Vision AI for offline retail with explicitly listed people-counting and queue-monitoring use cases.
