Route to market Co2

Problem statement

In an ever-changing market with complex demand forecasts, there is a requirement behind the scenes for a constantly developing intelligence system. We were tasked by UK-based retailer 3PL to overhaul their transport strategy, to ensure that each aspect was working at optimum level.

Solution

The first stage in establishing a solution for our client was to optimise the current ‘Route to Market’ strategy, which involved 8 distribution centres and over 1000 stores.

The Cloudaeon team were able to build a fully explainable on demand AI model, which is designed to fit seamlessly with the whole business network. The model is able to perform billions of permutation combinations, which result in a reduction of vehicle miles and lower carbon emissions.

Result

Once the trials were complete our AI model was implemented across the business, through an on-demand user-controlled system. The system was able to address supply chain issues to establish the best possible ‘Route to Market’. By the end of the year the company was able to reduce annual miles by an impressive 7 million.

Route to market Co2

Problem statement

In an ever-changing market with complex demand forecasts, there is a requirement behind the scenes for a constantly developing intelligence system. We were tasked by UK-based retailer 3PL to overhaul their transport strategy, to ensure that each aspect was working at optimum level.

Solution

The first stage in establishing a solution for our client was to optimise the current ‘Route to Market’ strategy, which involved 8 distribution centres and over 1000 stores.

The Cloudaeon team were able to build a fully explainable on demand AI model, which is designed to fit seamlessly with the whole business network. The model is able to perform billions of permutation combinations, which result in a reduction of vehicle miles and lower carbon emissions.

Result

Once the trials were complete our AI model was implemented across the business, through an on-demand user-controlled system. The system was able to address supply chain issues to establish the best possible ‘Route to Market’. By the end of the year the company was able to reduce annual miles by an impressive 7 million.

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