FieldAssist

An AI sales-automation and shelf-audit tool built for FMCG

4.0 India
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FieldAssist is a sales-force automation and retail-execution suite built for the fast-moving-consumer-goods (FMCG) industry. It combines advanced IRIS AI image-recognition technology to analyze on-shelf product-display status in real time. Sales staff just photograph with a phone or tablet, and the system automatically checks whether it meets the preset planogram norms, calculates shelf share, and confirms promotion-campaign execution, greatly improving the precision and efficiency of retail-channel management.

Breaking the blind spots of traditional manual inventory with AI image recognition

In the past, retail-channel shelf audits relied heavily on manual visual inspection, which was not only time-consuming but prone to missed items or false records. Through IRIS AI image recognition, FieldAssist automates the tedious work of data collection and comparison. It can quickly point out which products are out of stock, how much space competitors occupy, and whether marketing materials are placed per the rules, letting management teams grasp real front-line information anytime instead of deciding by guesswork.

Who it's for, how to use it, and the pain points solved

This system is very suited to FMCG-industry sales executives, supervisors, and front-line sales teams. It effectively solves the pain points of store-inventory information gaps, poor display-contract execution, and time-consuming sales reporting. Managers can track team performance through an intuitive dashboard, and sales staff can save a lot of time manually entering data to focus energy on customer-relationship cultivation and sales conversion, achieving a more efficient channel-marketing strategy.

Key Features

  • IRIS AI image recognition
  • Planogram-compliance monitoring
  • Shelf-share analysis
  • Promotion-campaign execution tracking
  • Sales-force automation management

Pros

  • Greatly reduces manual-inventory time
  • Provides real-time, accurate shelf data
  • Optimizes retail-channel execution efficiency

Cons

  • Has a certain learning curve
  • Depends on the quality of on-site photos

Use Cases

  • FMCG brands doing channel shelf audits
  • Sales teams tracking promotion-campaign execution
  • Analyzing competitors' shelf share in physical retail

Editor's Note

An FMCG tool combining AI image recognition, significantly improving the efficiency and accuracy of retail audits.

FAQ

What is FieldAssist's core AI technology?

It uses AI image-recognition technology called IRIS, specialized in monitoring shelf displays and analysis.

Which industry is this tool mainly for?

Mainly for the fast-moving-consumer-goods (FMCG) industry's sales teams and retail-execution management.

What physical-channel management pain points can it solve?

It can solve problems like time-consuming manual inventory, displays not meeting norms, and stockout-information gaps.

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