OmniShelf · 7-Eleven Philippines
In production
Open to read the case study
OmniShelf
By OmniShelfCompany founded in 2021, focusing on: Core GenAI Technology – Foundation models, LLM fine-tuning, image/video generation ||| Vision AI – Image or video recognition, document OCR, computer vision ||| Agentic AI / Autonomous Agents – AI agents that autonomously complete multi-step tasks ||| AI for Workflow & Productivity – Copilots, task automation, knowledge workers ||| Conversational AI / Chatbots – Virtual assistants, internal tools, customer service bots, targeting markets: Fast-Moving Consumer Goods (FMCG) ||| Retail & E-commerce ||| Technology / Software / IT Services
- Stage
- In production
- Industries
- Retail and e-commerce
- Deployment
- Cloud (SaaS)
Why it is worth it
- Holistic Value Proposition: Success is determined not just by processing data on a device, but by delivering a demonstrably reliable, efficient, and user-friendly experience. - Zero-Latency In-Store Action: Providing a true on-device, offline architecture that offers zero-latency feedback, which is essential for immediate corrective action by in-store personnel. - Superior User Experience: Winning the competition through a better user experience for data capture (e.g., AR/video scans versus static photos) and deep integration into broader task management workflows. - Credibility and Trust: Differentiating by exposing the "Credibility Gap" of competitors with ambiguous hybrid cloud models and educating the market on the architectural differences of true offline processing.
- Inefficiency and Manual Audits: Traditional shelf audits are manual, time-consuming, and prone to errors.
- Delayed and Lost Insights: Audits often deliver information too late to prevent lost sales.
- Lack of Real-Time Stock Visibility (Out-of-Stocks): The platform solves the problem of not knowing when shelves are empty (out-of-stocks/stockouts) by automatically detecting them within seconds, allowing teams to address issues proactively and maximizing on-shelf availability.
- Stock & Placement Inaccuracy: It solves the problems related to products being on the shelf but incorrectly placed or priced. The system identifies misplaced items, verifies planogram compliance, and flags pricing errors to ensure "Right Product. Right Shelf. Every Time." This immediate, accurate feedback eliminates the need for manual stock verification.
- Customer and Bottom-Line Frustrations: Empty shelves, poor planogram compliance, and incorrect pricing frustrate customers and negatively impact the retailer's bottom line.
- Infrastructure Dependency (Cloud): Other solutions are cloud-dependent, leading to delays, downtime, and unreliability in locations with poor or non-existent internet connectivity. OmniShelf's unique edge computing approach works 100% offline, guaranteeing reliable operation.
Opening the deck…
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Best customer profile
Small-format retail with more than 1000 Stores with $500,000,000 in revenue.
Notable paying customers
- 7/11 Philippines & Malaysia
Key milestones
Winner of best Deep Tech AI in Korea, Cyberport Hong Kong, Accelerated by MIT, 4 best tech awards, EU Innovation Grants
Customer case
One customer deployment, shown below.