AI in the Shopping Cart: MENY’s Recipe for Efficient Home Delivery

Meny

Meny

Meny

2018 - Ongoing

2018 - Ongoing

2018 - Ongoing

MENY’s prediction system helps the grocery chain plan how many staff are needed to process each order—reducing both overstaffing and understaffing.

MENY’s prediction system helps the grocery chain plan how many staff are needed to process each order—reducing both overstaffing and understaffing. 

Utfordring

In collaboration with Forte, MENY aimed to streamline and optimize logistics and operations related to picking and delivering groceries to customers. 

MENY faced challenges in capacity planning for its online order processing and delivery operations. For example, the company struggled to accurately predict the number of expected orders, leading to inefficient resource allocation and frequent over- or understaffing. 

The goal was to extract as much value as possible from historical data and make it accessible to decision-makers responsible for operational performance. 

Løsning

Together with Forte, MENY developed a machine learning–based prediction system that forecasts the number of orders by analyzing historical data, promotions, holidays, and other relevant factors. The system uses advanced algorithms to identify patterns in order history and generates accurate forecasts that the operations team uses to plan staffing and capacity up to 20 weeks in advance. 


A critical step in the checkout process – choose pickup window

The prediction algorithm takes into account historical orders, public holidays, and more.

A dedicated dashboard was developed in Power BI, allowing each store to plan staffing according to predicted demand.

Results

The result is more accurate and efficient resource allocation, which reduces staffing imbalances, improves predictability for employees and third-party vendors, and enables optimal vehicle scheduling. This leads to cost savings, higher operational efficiency, and better utilization of delivery capacity. 

For customers, it means greater flexibility, higher delivery accuracy, and a smoother shopping experience—all of which contribute to increased revenue and stronger customer loyalty for MENY. 

0

%

Reduction in the number of empty pickup windows.

0

%

Reduction in the number of empty pickup windows.

%

25

Reduction in the number of empty pickup windows.

0

%

Decrease in overfilled pickup time slots.

0

%

Decrease in overfilled pickup time slots.

%

15

Decrease in overfilled pickup time slots.

0

%

Increase in capacity for popular pickup windows.

0

%

Increase in capacity for popular pickup windows.

%

50

Increase in capacity for popular pickup windows.

This is a game changer for us because it can lead to cost savings, increased efficiency, and better customer experiences. For our customers, it means more flexibility and efficiency when ordering goods to be delivered to their door.

Jørgen Normann-Larsen

CMO MENY