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RP

Retail Pulse

Retail Pulse utilizes AI-powered computer vision to capture and analyze images of inventory in mom-and-pop stores, providing over 96% detection accuracy for stock visibility. This technology enables consumer packaged goods (CPG) companies to optimize product availability and visibility, ensuring effective trade marketing and personalized sales strategies for each store.

Alo, IndiaFounded 2020223K+ followers
Updated 20 months ago

Funding

$10K raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.

EF
Funding rounds are not available yet.

Founders

Founder details are not available yet.

Product

Problem

Consumer packaged goods (CPG) companies often lack real-time visibility into product availability, placement, and pricing within traditional mom-and-pop stores (Kiranas). This limited insight hinders effective trade marketing execution, prevents optimization of product distribution, and complicates personalized sales strategies.

Solution

Retail Pulse offers an AI-powered computer vision platform that analyzes smartphone-captured images of retail shelves in Kirana stores to provide CPG companies with granular, real-time insights. The platform detects products at the SKU level with high accuracy, enabling CPGs to monitor product visibility, availability, and in-store execution. By processing images rapidly, Retail Pulse delivers actionable insights to sales representatives and merchandisers while they are still in the store, facilitating immediate adjustments to shelf placement and promotional activities. The resulting data empowers CPGs to optimize trade marketing spend, personalize sales strategies for each store, and benchmark performance against competitors.

Target Audience

The primary target audience includes consumer packaged goods (CPG) companies seeking to optimize trade marketing, improve product availability, and gain competitive insights within traditional retail channels, as well as Kirana tech startups.

Features

  • AI-powered computer vision for SKU-level product detection with over 96% accuracy
  • Image processing in under one second, providing real-time insights to field teams
  • Mobile-first design, enabling data capture via standard smartphone cameras
  • Analytics engine delivering insights on product visibility, availability, and in-store execution
  • Benchmarking tools to track competitive activity and category performance
  • Customizable reporting dashboards for sales, marketing, and trade marketing teams
  • API integrations for seamless data transfer to existing CRM and analytics systems
This profile is AI-generated and may contain inaccuracies.