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AI-based optimized delivery staffing and on-time goods delivery

The Process

The client is a start-up focused on FMCG e-commerce. They are currently operating from a major city in India. The business model is to maintain low inventory and distribute products through local partnerships. The client was looking at providing the same day or next day delivery of products ordered to ensure positive customer experience. The pattern of orders was not consistent throughout the day or through the week. The challenge was to have an optimized use of delivery staff to ensure deliveries being on time, as well as the best utilization of the team. Keeping in mind the short delivery timeline, it was a difficult objective to achieve through the manual process.

Our Solution

We looked at Artificial Intelligence (AI) for analyzing the data on ordering patterns and creating optimized staffing plans. We created an AI model to look at ordering patterns, and the city was divided into different zones to identify delivery zones. An example of zone was that office areas were more common delivery zones during weekdays, while residential areas were more common delivery locations over weekends. The AI model then created staffing plans for the week to ensure that delivery staff offs got aligned as per low order delivery days.

Challenges Addressed

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Highly analytical in nature           
Short delivery timeline requirement
High delivery cost                     
Missed deliveries                               

The Outcomes

30 %

Increase in orders covered by same staff requirement.

45 %

Increase in staff utilization.

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