Ivy Recommender:
AI-powered SKU Recommendations for Your Sales Team

Empower your reps with insights and recommendations to sell more and sell fast.

Enhances field force automation by offering AI/ML-driven, actionable recommendations to your sales team to boost same-store sales. The solution guides your sales team on the next-best SKU to sell, predicts order quantities, and ensures optimal stock levels, helping them meet targets and outperform competitors.

Trusted by 100+ CPG Brands Across the Globe

Best-in-class Guided Selling Platform

AI/ML-based Recommendations

Ivy Recommender delivers AI/ML-based recommendations tailored to a customer’s purchase behavior, offering insights like the next-best SKU to sell and predicted order quantities. It extracts patterns from past data using multiple parameters and analyzes both monthly and daily metrics to generate actionable insights. The solution helps sales reps make informed decisions, optimize stock levels, and improve on-field performance through guided selling. Additionally, it identifies commonalities in customer behavior, driving more effective sales strategies.

Upsell and Fit-Sell

Ivy Recommender helps field force with upselling and fit-selling by offering custom recommendations based on parameters like location, climate, and peer store data. It helps increase lines per call (LPC), boosting sales value while providing product suggestions based on fast-moving promotions. The solution also offers insights into consumer behavior and their reactions to various products, helping sales teams optimize their strategies for maximum impact.

High-Precision & Recall

Ivy Recommender delivers industry-leading accuracy with a recommendation engine boasting high precision and recall. The solution’s evaluation criteria are based on category-level parameters, ensuring highly relevant insights. Powered by a machine learning algorithm that continually learns and improves, it consistently enhances the accuracy of its results over time.

Data-Driven Insights and Segmentation

Ivy Recommender’s underlying recommendation parameters include analyzing the relationship between product type and sales, store segmentation, visit patterns, and store order data for deeper market insights. It leverages transactional data segmentation to analyze purchase behavior while excluding data outliers to ensure high-accuracy results. This comprehensive approach enables more precise and actionable recommendations for driving sales.

Promotions and Pricing Insights

Ivy Recommender enables CPG businesses to run, monitor, and analyze promotions to identify successful discount models and generate actionable insights. It helps customize promotions by identifying what resonates with customers and influences purchase behavior. The solution provides recommendations on custom pricing for different customer segments, allowing for personalized promotions that effectively meet diverse customer needs.

Why Choose Ivy Mobility

Unmatched Accuracy & Performance

Unlike static systems, it constantly learns and improves thanks to powerful AI. This guarantees that your sales team’s insights are precise and pertinent to your particular market and product categories.

Comprehensive Insights & Recommendations

The solution uses powerful AI to analyze past sLightales, customer demographics, and product information. This allows the solution to predict nudges and outcomes, providing your sales reps with real-time insights.

Seamless Integration & Scalability

The solution seamlessly connects with all your existing Ivy Mobility solutions, creating a smooth workflow for your sales team. Plus, it scales effortlessly as your business grows, ensuring it continues to be a valuable asset.

For Your Entire Sales Team

By enhancing decision-making in real time, Ivy Recommender enables sales reps to engage more effectively with retailerss, increase lines per call (LPC), and drive higher sales value across the board.

A Commitment to Innovation

Being the best-in-class recommendation engine in the CPG industry, the solution is regularly updated with enhancements and innovation. Our team ensures you get the most out of the solution and see tangible results.

Featured Customers

The Future of Sales is Here: Ivy Recommender for Consumer Goods

Field Representatives

Ivy Recommender provides real-time product and order suggestions, helping reps make informed selling decisions. This boosts sales efficiency and increases lines per call (LPC).

Sales Managers

Sales managers can monitor performance, optimize stock levels, and adjust promotions based on data-driven insights, ensuring their teams achieve better sales outcomes.

Business Leaders & Executives

Gain strategic insights into customer behavior and promotional effectiveness, enabling CPG business leaders to optimize pricing, promotions, and drive business growth.

Got Any Questions?

Absolutely! Ivy Recommender can integrate with various DSD apps. However, if you use other Ivy Mobility solutions, the integration becomes even smoother and offers real-time data exchange for optimal performance.

We provide customizable price plans to meet your company’s requirements. We would be happy to discuss your unique needs and user volume so we can quote you an accurate price.  Please contact our sales team for a personalized consultation.

Ivy Recommender starts delivering insights as soon as it’s implemented (around 5-6 weeks after setup). However, the accuracy continues to improve over time as the system learns from your data. This is because we invest time in data mapping, analysis, and training to ensure the recommendations are tailored to your specific needs.

Absolutely! While core insights come from your sales data, Ivy Recommender can also factor in external sources like:
Public Surveys: Understand broader consumer trends and preferences beyond your customer base.
Media Analysis: Stay informed about industry news and how external factors might impact consumer buying habits.
Demographics: Tailor recommendations based on local demographics and market trends.

Absolutely! Because Ivy Recommender is cloud-agnostic, it can connect with your current cloud infrastructure without any problems, regardless of your chosen cloud provider. This guarantees a seamless implementation procedure and prevents you from making significant platform changes.

Ivy Recommender analyzes over 40 different parameters to generate its recommendations. These parameters are dynamically chosen based on your specific business needs and statistically validated for accuracy. Examples include recent purchases, purchase frequency, time between orders, product assortment, promotions, seasonality, and external factors. Plus, you can configure these parameters to reflect your unique business and market dynamics best.