United StatesFood and restaurants2025 – ongoingMondelez International
Machine-learning SKU recommendations for field sales
Databricks reported 2–4% higher store sales with Mondelez SKU recommendations
Problem
Retailers needed different product assortments.
Approach
Mondelez modeled store potential and grouped similar outlets. Models recommended product placement to sales representatives.
Results
2–4%store sales increase, per Databricks
Takeaway
Sales representatives received product-placement recommendations based on groups of stores with similar geography, demographics and layouts.
Categories
- Size
- Large enterprise
- Industry
- Food and restaurants
- Business function
- Marketing and sales
- Innovation type
- Process innovation
- Adoption
- Off-the-shelf tool or platform
- Evidence
- Vendor case study
Sources
Source summaries
[1]Databricks2025
Databricks described models that grouped similar stores and recommended product placement to sales representatives. It reported a 2–4% increase in store-level sales.
Full details are in the original sources.
Added 1 Nov 2026 · Updated 1 Nov 2026