Saudi ArabiaRetail and e-commerce2022 – ongoingNana
Machine-learning route planning for grocery delivery trucks
Nana used delivery trucks almost 40% better after adopting machine-learning route planning
Problem
Nana, an online grocery platform in Saudi Arabia and Egypt, had to dispatch trucks for fast home delivery as demand grew. Its earlier dispatch systems did not match what the team needed.
Approach
Nana got early access to Google's Cloud Fleet Routing tool, which uses machine learning to manage truck dispatch. The tool groups orders per truck by delivery location and time. It gives drivers the most efficient route, using Google Maps.
Results
Takeaway
Nana tied the gain to grouping orders by place and time before assigning trucks. The page gives no cost figure for the saving in fulfillment costs.
Categories
- Industry
- Retail and e-commerce
- Business function
- Production and qualityLogistics and supply chain
- Innovation type
- Process innovation
- AI technology
- Optimization
- Adoption
- Off-the-shelf tool or platform
- Evidence
- Vendor case study
Sources
Source summaries
Google Cloud's customer story describes how Nana, a Riyadh-based online grocery platform, used Cloud Fleet Routing to plan truck dispatch and routes. It reports that fleet utilization improved by almost 40% and that fulfillment costs fell, without a cost figure. The page carries no date; the Internet Archive first saved it on June 16, 2022.
Full details are in the original sources.
