StreamStream AI
Sales & Distribution

AI Order Recommendation

An app for brand owners and manufacturers: AI analyzes historical and contextual data to recommend the right products and quantities to sales reps and dealers, with pricing, stock checks and truck-load planning.

Screenshot: AI Order Recommendation
CategorySales & Distribution
Business caseROI Calculator
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AI Order Recommendation analyzes historical and contextual data to recommend the right products and quantities, enabling smarter ordering decisions and improved sales performance. It is designed for brand owners and manufacturers that sell through sales reps and dealers.

How it works

  1. Analyze data

    AI analyzes historical and contextual data, such as best sellers by area

  2. Recommend items & qty

    Suggests products and quantities to reps and dealers, with a reason for each

  3. Order in the app

    Check stock ready to ship and place the order with pricing in the app

  4. Plan truck loads

    Truck Load Optimizer assigns items to trucks with capacity and transport cost

Real-time SAP integration

These steps are arranged from the existing content of this page.

Key capabilities

  • AI product recommendations for sales reps and dealers, with the reason each item is suggested
  • Ordering with price calculation inside the app
  • Best sellers by area
  • Interesting new products suggested from statistics of related items
  • Inventory check — see whether stock is ready to ship
  • Truck Load Optimizer — assign items to trucks, see each truck’s load capacity and the transport cost
  • Real-time SAP integration

Recommended-items cart — suggested quantity, order quantity and the reason to buy Recommended-items cart — suggested quantity, order quantity and the reason to buy

Truck Load Optimizer — loading items onto trucks and per-truck capacity Truck Load Optimizer — loading items onto trucks and per-truck capacity

Who it is for

  • Brand owners and manufacturers selling through sales reps, dealers or agent stores
  • Sales teams that want data-driven order suggestions, and logistics teams planning deliveries
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