Infilect

Smart image recognition to unlock retail shelf big data

4.5 India

What is Infilect?

Infilect is an AI-powered retail analytics platform leveraging advanced computer vision, specifically designed for Fast-Moving Consumer Goods (FMCG) and Consumer Packaged Goods (CPG) brands. By converting in-store shelf photos into SKU-level execution data, the system precisely analyzes product displays in physical retail channels. It eliminates the tedious process of manual auditing, empowering retail teams with real-time, frontline market insights.

What problems does it solve?

In traditional retail channels, brands often struggle to accurately and instantly track product availability, out-of-stock situations, and competitor dynamics across brick-and-mortar stores. Infilect effectively addresses the pain points of time-consuming, error-prone, and delayed manual audits. It automatically identifies every item on the shelf to deliver deep analytics on inventory levels, placement positions, and promotional execution rates, helping marketing and sales teams make optimized decisions quickly to boost in-store conversion rates.

Key Features

Smart shelf photo recognition
SKU-level inventory tracking
Physical retail execution analytics
Real-time competitor monitoring
Retail data optimization solutions

Pros

Significantly reduces manual audit time
Provides highly accurate inventory data
Delivers rapid visibility into physical retail channel dynamics

Cons

Highly dependent on the quality of in-store photos
Initial deployment requires building a comprehensive product database

Use Cases

FMCG brand retail audits
CPG retail inventory management
Competitor display and market share analysis

Editor's Note

A powerful image recognition tool tailored for physical retail, effectively boosting channel execution for FMCG and CPG brands.

FAQ

Which industries is Infilect primarily designed for?

It is primarily built for brand owners and retailers in the Fast-Moving Consumer Goods (FMCG) and Consumer Packaged Goods (CPG) sectors.

How does this system work?

Using artificial intelligence and image recognition technology, it transforms in-store shelf photographs into actionable SKU execution data.

What pain points does it help solve?

It effectively resolves issues like time-consuming manual audits, delayed data availability, and the difficulty of accurately tracking physical shelf conditions.