InsightsHive provides a retail intelligence platform that lets field teams capture shelf photos via a mobile app, automatically processes them with computer‑vision to identify SKUs, planogram compliance and out‑of‑stock rates, and streams the results to a secure cloud dashboard. The solution delivers real‑time KPI visualizations, predictive alerts and API‑based reporting, reducing audit time by over 85% while maintaining >95% accuracy for large retail chains.
Funding
Funding not disclosed
Founders
Product
Problem
Retail chains rely on manual in‑store audits that require field staff to capture photos, manually transcribe data, and enter results into spreadsheets. This process is time‑consuming, prone to human error, and scales poorly across thousands of locations, limiting the frequency and reliability of operational insights.
Solution
InsightsHive delivers an end‑to‑end retail intelligence platform that combines a mobile application for on‑site image capture with a cloud‑based computer‑vision engine and a web analytics dashboard. Field teams simply photograph shelves or promotional displays; the AI model detects products, assesses planogram compliance, and extracts key performance indicators (KPIs) such as out‑of‑stock rates and share‑of‑shelf metrics. Results are processed in real time, encrypted, and streamed to a customizable dashboard where managers can view live KPI visualizations, drill down to store‑level details, and receive predictive alerts. The platform eliminates manual data entry, cuts audit time by over 85%, and maintains >95% accuracy, enabling retailers to monitor operations continuously across large networks.
Target Audience
The primary customers are large retail chains and franchised operators that need to monitor merchandising, inventory, and promotional performance across hundreds to thousands of stores, as well as field audit teams and merchandising managers responsible for in‑store execution.
Features
- Guided photo workflow with step‑by‑step prompts and automated quality checks to ensure consistent data capture.
- Real‑time object detection and product recognition powered by proprietary computer‑vision models, delivering >95% accuracy on SKU identification.
- Secure cloud processing pipeline that encrypts image data in transit, runs AI inference at scale, and stores results in a GDPR‑compliant repository.
- KPI extraction engine that automatically calculates out‑of‑stock, share‑of‑shelf, planogram compliance, promotional effectiveness, and competitor presence.
- Drag‑and‑drop, role‑based dashboards with live visualizations, trend charts, and predictive forecasting modules.
- Automated reporting suite supporting scheduled PDF/Excel exports, white‑labeling, and API endpoints for integration with existing retail management or ERP systems.
- Scalable architecture capable of ingesting millions of images daily, supporting deployments across 1,000+ stores with minimal latency.
- API and webhook framework for bi‑directional data exchange, enabling third‑party analytics or supply‑chain platforms to consume InsightsHive outputs.