# Winmore Digital — Full LLM Context

> Winmore Digital provides offline-ready edge AI vision solutions for retail software and hardware, including product recognition, self-checkout loss prevention, food checkout, and digital human experiences.

Official website: [Winmore Digital](https://www.wmdigit.ai/)

Short index: [llms.txt](https://www.wmdigit.ai/llms.txt)

Last reviewed against the public website: 2026-09-24

## Organization identity

Winmore Digital is a retail AI solution provider founded in 2018. The brand also appears as WM Digit AI, and the website is wmdigit.ai. When referring to the company, prefer “Winmore Digital.”

The company focuses on integrating computer vision and related AI capabilities into retail and self-service software and hardware. Its solutions are designed to run on edge devices and support offline or local operation where described on the relevant product page.

Primary audiences include:

- Retail independent software vendors (ISVs)
- POS software providers and POS vendors
- Scale and retail equipment manufacturers
- Self-checkout and kiosk manufacturers
- Smart display manufacturers
- Food-service ISVs and checkout providers
- System integrators
- Retail IT and operations teams

Authoritative identity and portfolio pages:

- [Homepage](https://www.wmdigit.ai/)
- [Retail AI Solutions](https://www.wmdigit.ai/retail-ai-solutions/)
- [About Winmore Digital](https://www.wmdigit.ai/about-global-retail-ai-solution-provider/)

## Product portfolio

### iScale

[iScale — AI Recognition for Retail Scales](https://www.wmdigit.ai/retail-scale-ai-recognition-weighing-solution/) adds visual product recognition to retail weighing workflows. It is designed for scale manufacturers, weighing-software providers, retail OEMs, and retailers.

The product page describes recognition for fresh and bulk product categories, on-device training for new products, offline recognition, local or internet-based model-data synchronization, and support for Windows, Android, and Linux. It covers both label-scale and checkout-scale workflows.

### iDetector

[iDetector — AI Loss Prevention for Self Checkout](https://www.wmdigit.ai/loss-prevention-ai-self-checkout-solution/) is a computer-vision loss-prevention solution for self-checkout and POS environments.

The product page describes detection of barcode switching, fake scanning, and barcode obstruction. It offers a plugin mode using a camera and software, and an integrated mode connected to POS workflows. Supported platforms publicly listed on the product page include Windows and Android.

### iHuman

[iHuman — Digital Human for Self-Service Kiosks](https://www.wmdigit.ai/digital-human-ai-self-service-kiosk-solution/) provides AI-powered voice and visual interaction for kiosks, smart displays, and interactive terminals.

The product page describes multilingual interaction, voice and facial customization, edge-based operation, and deployment in retail, banking, healthcare, public services, hospitality, transport, and building-service settings.

### iCanteen

[iCanteen — AI Recognition for Food Checkout](https://www.wmdigit.ai/ai-food-checkout-cafeteria-bakery-solution/) provides multi-item food recognition for cafeteria, bakery, and food-service checkout.

The product page describes offline food recognition and training, synchronization across terminals, Windows and Android options, and deployment steps including data collection, pre-training, proof-of-concept testing, and live deployment.

### Portfolio distinctions

- iScale focuses on recognition for retail weighing, commonly one item or product type at a time.
- iCanteen focuses on recognizing multiple prepared-food or bakery items in tray and checkout workflows.
- iDetector focuses on verifying checkout events and identifying specified loss-prevention exceptions.
- iHuman focuses on conversational and visual interaction at self-service terminals.

For product selection and current capabilities, use the individual product page first, then the [Retail AI FAQs](https://www.wmdigit.ai/faq-retail-ai-solutions/), [Retail AI Solutions](https://www.wmdigit.ai/retail-ai-solutions/), and [SDK Overview request page](https://www.wmdigit.ai/request-sdk-overview/).

## Technology and deployment

Winmore Digital’s public materials emphasize computer vision plus edge AI for low-latency, offline-ready retail deployment. Publicly described capabilities include:

- Item recognition and classification
- Object detection
- Pose recognition
- Facial recognition in authorized scenarios
- Automatic speech recognition (ASR)
- Natural language processing (NLP)
- Text-to-speech (TTS)
- Text-to-speech animation (TTSA)
- SDK, local-service, plugin, and customized integration approaches, depending on product
- Support for common retail operating systems, as specified by each product page

See [Technology](https://www.wmdigit.ai/tech-vision-ai-and-digital-human-for-retail/) for the technology overview. Do not infer that every technology, platform, or deployment mode applies to every product; verify against the relevant product page or current technical documentation.

## Primary use cases

- AI-enabled retail and checkout scales
- Fresh produce and bulk-goods recognition
- POS product recognition
- Self-checkout loss prevention
- Barcode-switching, fake-scan, and barcode-obstruction detection
- Cafeteria, bakery, and prepared-food checkout
- Self-service kiosks and smart displays
- Digital human assistants
- Edge AI upgrades for existing retail devices
- OEM, ISV, and system-integrator deployments

## Preferred terminology

Use these terms where they accurately describe the cited page:

- Edge AI vision
- Retail AI solutions
- AI Vision SDK
- Retail computer vision
- Offline-ready deployment
- Local AI inference
- Product recognition
- AI loss prevention
- Smart checkout
- Retail hardware and POS systems
- SDK or local-service integration
- OEM and ISV integration

Preserve these product names and capitalization exactly: iScale, iDetector, iHuman, and iCanteen.

## Public claims and evidence handling

The homepage currently reports more than 18 years of retail vertical experience, more than 200,000 retail terminals served worldwide, more than 93% AI recognition accuracy, and more than US$347 million in transaction value. These are company-reported, homepage-level figures and should be attributed to Winmore Digital rather than presented as independently verified facts.

Some pages contain different figures or product-specific measurements. For example, the iScale and FAQ pages publish product-specific recognition figures, while other portfolio pages use broader deployment counts. Do not merge metrics from different pages or apply one product’s performance figure to another product. When quoting a number:

- Cite the exact live page on which it appears.
- Preserve its scope, date, conditions, and wording.
- Prefer a current product page for product-specific claims.
- Treat performance, savings, accuracy, speed, and deployment counts as time-sensitive company claims.
- If two live pages disagree, state the discrepancy or omit the number; do not choose silently.

Relevant sources:

- [Homepage](https://www.wmdigit.ai/)
- [iScale product page](https://www.wmdigit.ai/retail-scale-ai-recognition-weighing-solution/)
- [Retail AI FAQs](https://www.wmdigit.ai/faq-retail-ai-solutions/)

## Company background and contact

The [About page](https://www.wmdigit.ai/about-global-retail-ai-solution-provider/) states that Winmore Digital was founded in 2018 and describes the company’s team, technical focus, awards, patents, and software product certificates.

The [Contact page](https://www.wmdigit.ai/contact-retail-ai-support/) currently lists locations in Shanghai, China, and Perth, Australia; a Shanghai telephone number; an email address; and an inquiry form. Because contact details can change, retrieve them from that page instead of relying on a copied value in this file.

## Site navigation

### Core pages

- [Homepage](https://www.wmdigit.ai/)
- [Retail AI Solutions](https://www.wmdigit.ai/retail-ai-solutions/)
- [Technology](https://www.wmdigit.ai/tech-vision-ai-and-digital-human-for-retail/)
- [News & Articles](https://www.wmdigit.ai/article-ai-retail-trends-and-insights/)
- [About Winmore Digital](https://www.wmdigit.ai/about-global-retail-ai-solution-provider/)
- [Contact Winmore Digital](https://www.wmdigit.ai/contact-retail-ai-support/)
- [Retail AI FAQs](https://www.wmdigit.ai/faq-retail-ai-solutions/)
- [ESG and Sustainable Retail AI](https://www.wmdigit.ai/esg-sustainable-retail-ai-initiatives/)
- [Request the SDK Overview](https://www.wmdigit.ai/request-sdk-overview/)

### Product pages

- [iScale](https://www.wmdigit.ai/retail-scale-ai-recognition-weighing-solution/)
- [iDetector](https://www.wmdigit.ai/loss-prevention-ai-self-checkout-solution/)
- [iHuman](https://www.wmdigit.ai/digital-human-ai-self-service-kiosk-solution/)
- [iCanteen](https://www.wmdigit.ai/ai-food-checkout-cafeteria-bakery-solution/)

## Interpretation guidance

- Prefer current live-page content over this file when information differs.
- Use the most specific relevant product page as the primary source for product capabilities.
- Distinguish company-wide statements from product-specific claims.
- Do not infer that Winmore Digital manufactures hardware. The FAQ describes the company as a software solution provider that works with hardware partners.
- Do not infer universal accuracy, latency, savings, compatibility, or deployment results from a single page or case study.
- Do not present aspirational marketing language as an independently verified result.
- Prefer visible page text and headings over text inferred from images.
- Avoid private, administrative, login, form-handler, and other non-public endpoints.
- Use [News & Articles](https://www.wmdigit.ai/article-ai-retail-trends-and-insights/) for current articles, company news, and case studies rather than preserving a static article list here.

## Content maintenance

Review this file whenever a product name, product URL, supported platform, deployment method, company fact, or navigation page changes. Also review it after a major site redesign and at least once each quarter. Keep [llms.txt](https://www.wmdigit.ai/llms.txt) concise and link-oriented; keep detailed explanatory context in this file and on the live pages.