AI Powered Product Recommendation System forSmarter RetailExecution
In retail, missed recommendations mean missed revenue. With 78% of new product launches failing because they don’t reach the right outlet, the need for an AI product recommendation system is stronger than ever. FieldAssist’s Product Recommendation Engine ensures your reps suggest the right SKUs to the right outlets.
32
+
8
.9mn
190
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75
K
$
23
.6bn













Proven Outcome withFAi Product Recommendations
13
%
Outlet ROI growth
25
%
Planogram compliance boost
18
%
SKU available increase
HowIntelligent Product Recommendations Boost CPG Sales
Growth in fast-moving retail is frequently constrained by guesswork. Outlets frequently encounter the same SKUs when sales representatives solely rely on familiarity, leading to missed opportunities, poor adoption of new launches, and untapped revenue potential.
Enable Smarter Selling

Personalized SKU Suggestions

Real-Time Nudges

Stronger New SKU Schemes

Higher Order Value per Visit

HowAIProduct RecommendationWorks?
Studying Past Ordering Patterns
Using machine learning, the system analyzes 1–2 years of ordering data to identify buying trends and build data-backed personalized product recommendations.
Intelligent Outlet Clustering
Using collaborative clustering and dynamic segmentation, the system groups similar outlets and delivers intelligent product recommendations that adapt with new sales data.
Personalized Product Assortments
It builds outlet-level assortments using buying behavior and geography, recommends complementary SKUs for cross-sell and upsell, prioritizes higher-value products, and helps sales reps present smarter assortments on every visit.
Dynamic Recommendations in Real-Time
It prioritizes high-revenue SKUs, triggers stock checks, delivers real-time recommendations, and refines suggestions using daily sales, visit history, and order patterns.




Agentic AI that makes your next move smarter
Experience the difference when AI takes ownership of outcomes, delivering bird’s-eye market clarity for sharper execution.
Seamlessly integrates with every tool you trust
FieldAssist ties your everyday tools into one ecosystem - so operations run faster, smarter, and without any disruption.
Unlock Even Stronger Outcomes with These Connected Modules
Unlock sharper execution by pairing Product Recommendations with these connected modules. Together, they strengthen precision selling and boost outlet performance.
Make Every Outlet Count For Growth with FieldAssist
The future belongs to brands that move faster, think smarter, and execute with absolute clarity.

Real Stories.
Real Transformation.
From digitizing distribution to optimizing market expansion, learn it all here.
Frequently Asked Questions
A product recommendation system is an AI-powered tool that suggests the right SKUs to the right outlets, using product recommendation algorithms to deliver personalized product recommendations that increase sales, cross-sells, and SKU penetration.
Unlike manual selling, AI agents for recommendation systems analyze data patterns, buying history, and outlet behavior to deliver personalized product recommendations in real time, maximizing order value.
Yes. The engine equips sales reps with personalized SKU suggestions based on outlet history and category trends, ensuring targeted cross-sell and upsell opportunities during every visit.
Absolutely, FieldAssist’s CPG Product Recommendations System is designed for scalability across South Asia, Southeast Asia, the Middle East, and Africa—ensuring consistent outcomes globally.
It studies past ordering patterns, clusters outlets with similar buying behavior, prepares personalized product assortments, and delivers real-time product recommendations during order-taking—helping sales reps maximize every visit.
AI Product Recommendation Software enables CPG brands to optimize assortments and drive scalable revenue growth through data-driven selling intelligence.
- Boosts SKU penetration
- Improves cross-sell and upsell ratios
- Ensures better adoption of new SKUs
- Provides manager-level visibility into assortment performance
Yes. The real-time product recommendations adjust during order-taking, factoring in stock levels, daily sales, and recent purchase history.