AI Powered Product Recommendation System for
Smarter 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.

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Explore our AI Agent

32

+

8

.9mn

190

K

75

K

$

23

.6bn

Proven Outcome with
FAi Product Recommendations

13

%

Outlet ROI growth

25

%

Planogram compliance boost

18

%

SKU available increase

How
Intelligent 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

FieldAssist AI product recommendation makes sure that representatives always recommend the right SKUs to the right clients by using category data, outlet history, and purchasing trends.

Personalized SKU Suggestions

Our product recommendation engine tailors suggestions to each outlet, enabling sales reps to expand product offerings confidently and increase SKU penetration without additional effort.

Real-Time Nudges

Reps receive intelligent suggestions during order booking via real-time product recommendations, saving them valuable time and facilitating seamless cross-selling and upselling.

Stronger New SKU Schemes

Intelligent product recommendations surface new and underperforming SKUs at the right outlets, ensuring better visibility and faster adoption without manual pushing by sales reps.

Higher Order Value per Visit

By recommending complementary, higher-value SKUs, the AI product recommendation system increases basket size and boosts order value at every outlet.

Enable Smarter Selling

FieldAssist AI product recommendation makes sure that representatives always recommend the right SKUs to the right clients by using category data, outlet history, and purchasing trends.

Personalized SKU Suggestions

Our product recommendation engine tailors suggestions to each outlet, enabling sales reps to expand product offerings confidently and increase SKU penetration without additional effort.

Real-Time Nudges

Reps receive intelligent suggestions during order booking via real-time product recommendations, saving them valuable time and facilitating seamless cross-selling and upselling.

Stronger New SKU Schemes

Intelligent product recommendations surface new and underperforming SKUs at the right outlets, ensuring better visibility and faster adoption without manual pushing by sales reps.

Higher Order Value per Visit

By recommending complementary, higher-value SKUs, the AI product recommendation system increases basket size and boosts order value at every outlet.

HowAI
Product 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.

Perfect Store

Drive outlet-level excellence with real-time store audits, scoring, and corrective actions.
Explore More ->

Micromarket

Identify hyperlocal opportunities with territory-level insights and targeted white space intelligence.
Explore More ->

ARS

Uses Al-driven demand forecasting and automated purchase orders to maintain optimal stock levels and prevent stockouts.
Explore More ->

Make Every Outlet Count For Growth with FieldAssist

The future belongs to brands that move faster, think smarter, and execute with absolute clarity.

Schedule Your Demo today!

Real Stories.
Real Transformation.

From digitizing distribution to optimizing market expansion, learn it all here.

Next
Next

It's been great working with FieldAssist on our Modern Trade vertical in India. Their solutions helped us grow our top line by 6%. We're excited to take this partnership global and amplify our impact.

Read Adani Case Study ->
Kajal Bhaumik
Sr. Sales Automation Manager, Nivea

Partnering with FieldAssist has helped us bring greater discipline and agility into our sales and distribution network. By simplifying execution, we were able to reach more markets and serve retailers better consistently.

Read Adani Case Study ->
Jignesh Yagnik
GM-IT, AWL

We are delighted with FieldAssist’s service, which played a crucial role in our project’s swift, successful launch. A huge shout-out to the entire team of FieldAssist for their unwavering support.

Read Pearl Dairy Case Study ->
Rohit Rajasekharan
CTA and Executive Committee Member Pearl Dairy

What I can say in all honesty is that FieldAssist engaged us the most; the one that truly listened. They really came in as a partner that helped us co-create.

Read Mars Petcare Case Study ->
Jhonny Racoma
General Manager, Mars Petcare

We made a significant improvement with technologies that perfectly address our pain points. We are glad that we decided to go with FieldAssist as our strategic technology partner.

Read SAR Case Study ->
Abhishek Pandey
Senior General Manager, SAR

Ready to Unlock Intelligent Product Recommendations?

Don’t let poor SKU penetration stall your growth. With FieldAssist’s product recommendation systems, you can deliver personalized product recommendations, accelerate new launches, and maximize every retail order.

Book Your Early Access Demo

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.