Logo
Sign in
Product Logo
Ivy RecommenderIvy Mobility

AI-powered guided selling platform for consumer goods, empowering field reps with actionable insights to boost sales and efficiency.

Vendor

Vendor

Ivy Mobility

Company Website

Company Website

Product-Features-of-Ivy-Recommender-AI-ML-based-Recommendations-2.png
Product-Features-of-Ivy-Recommender-High-Precision-Recall-1.png
Product-Features-of-Ivy-Recommender-Upsell-and-Fit-Sell-1.png
Product-Features-of-Ivy-Recommender-Promotions-and-Pricing-Insights-1.png
Product details

Ivy Recommender is a best-in-class guided selling platform designed for consumer goods companies. It complements field force automation solutions by providing sales teams with AI/ML-powered recommendations to drive up same-store sales and enhance consumer engagement. The platform offers actionable insights and predictions to help field representatives sell more effectively and efficiently.

Key Features

AI/ML-Powered Recommendations Leverages artificial intelligence and machine learning to provide data-driven sales suggestions.

  • Actionable suggestions on next-best SKU to sell to a customer
  • Predicted order quantity by customer based on past sales

Inventory Optimization Helps manage stock levels efficiently across stores.

  • Optimal stocking recommendations for products at each store
  • Reduces out-of-stock to ensure product availability

Competitive Edge Enables sales teams to stay ahead of the competition.

  • Identifies products in demand
  • Provides insights to outperform competitors

Benefits

Increased Sales Performance Empowers field representatives to sell more effectively.

  • Drives up same-store sales
  • Facilitates faster selling processes

Enhanced Consumer Engagement Supports field force with guided selling techniques.

  • Improves interaction quality with customers
  • Increases likelihood of successful sales

Seamless Integration Easily integrates with existing Ivy Mobility solutions.

  • Complements field force automation tools
  • Ensures smooth workflow across platforms