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Optimising efficiency, driving impact



enterprise

Our client operates traditional milkruns for their clients, distributing goods from a central warehouse to several retail and F&B outlets. While business was great, they were not running at optimum efficiency; a large surplus of drivers and vehicles required to cater for unforeseen delays, vehicles often had to move out without a full load, and being on time was hard to predict due to unpredictable traffic conditions..

We wanted to change that.

Driving Blind


Optimising truck movements is no easy task, especially on the scale at which they operate. Making matters worse was a lack of digital data; Information such as pickup and delivery times, mileage and distances travelled, load weight and package sizes were all still manually logged, and thus, had to be manually crunched. Being manually logged also resulted in missing or inaccurate data, all very much dependent on the conscientiousness of the driver/operations manager. We needed greater visibility and control over truck movements and loads.

Roadblock


After our research study, with interviews, shadowing drivers and observing operation managers, we realised that the first and most crucial step was in digitising the Delivery Order, which would aid in monitoring movements, delivery statuses, and would enable automatic planning of required resources. The current paper Delivery Orders were not sufficient in giving the operation managers the required real time data. However, we realised that we faced a major roadblock, traditional clients were not willing to switch over to a new digital system. As long as their orders weren’t affected and came as usual, they were resistant to change.

The Light at the end of the Tunnel

The management platform we had would be hard to implement if a key link in the chain (Delivery Orders) was not digitised. To solve this issue, we implemented Optical Character Recognition (OCR) into the system. The paper Delivery Orders favoured by their clients could still be used, and were now scanned and translated into digital jobs, which were then sorted and distributed to drivers. The soft launch was a success: Delivery personnel now spend up to 30% less time per delivery, and operation managers have greater visibility on resource allocation.

A happy side effect, the automation and improved efficiency impressed their end clients as well; They receive automatic notifications via SMS with accurate Delivery Statuses and ETAs, allowing them to prepare themselves for receiving new stocks.

Hopefully breaking down barriers towards the adoption of new technologies in the future.

The Light at the end of the Tunnel

The management platform we had would be hard to implement if a key link in the chain (Delivery Orders) was not digitised. To solve this issue, we implemented Optical Character Recognition (OCR) into the system. The paper Delivery Orders favoured by their clients could still be used, and were now scanned and translated into digital jobs, which were then sorted and distributed to drivers. The soft launch was a success: Delivery personnel now spend up to 30% less time per delivery, and operation managers have greater visibility on resource allocation.

A happy side effect, the automation and improved efficiency impressed their end clients as well; They receive automatic notifications via SMS with accurate Delivery Statuses and ETAs, allowing them to prepare themselves for receiving new stocks.

Hopefully breaking down barriers towards the adoption of new technologies in the future.

Designing an Auntie-Centric Experience

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