AP: We are seeing similar developments with the robots used to handle products, which are now able to recognize how a particular object should be picked up, and from which side, to avoid damaging it or tearing its packaging.
Finally, AI makes it possible to carry out tasks which humans simply can’t manage in such a short time or with such a high degree of precision. Sometimes, we need months to complete a calculation which a computer can solve in just a minute. Thanks to these advances, we can now benefit from a simpler and clearer overview of everything happening in a warehouse, and of what will be happening there tomorrow. This enables us to prepare orders the evening before, and to move their content as close to the operators as possible so that when they arrive on site the next morning, some of the work is already done, leaving them only the high added value tasks to be performed.
T.L: Where Upply is concerned, our task is to facilitate the work carried out by transport professionals on a daily basis, thanks to digital solutions which provide them with added visibility and efficiency. For example, the latest service we launched consists of matching supply and demand for road haulage in an intelligent and automated manner. The principle behind this has existed for a long while now, but the digitalization of this process has meant that it’s possible to go much faster, to drastically increase the opportunities for matching, and to considerably improve documentation management.
Similarly, the effectiveness of our transport price benchmarking solution is based on the use of new technology. We have collected more than 800 million items of data to date. Thanks to machine learning, we can process them and deliver real-time market price estimates. If a human were to handle this task, it would take a lot longer…
A.P: In addition to the time saved, we’re also improving our services thanks to digital technology. In the mass retail sector, supermarkets are reassured when an AI system ascertains that the weather will be fine the following weekend and that consequently they need to stock up on water and ice cream. This helps avoid out-of-stock incidents. The same applies for the choice of box types. Thanks to artificial intelligence, it’s possible to optimize the layout inside the box, making it possible to choose the smallest possible box and to reduce the volume needed in the trucks as well as the volume of waste.
T.L: The supply chain needs to adapt to the product lifecycle. Some variations are foreseeable, but others much less so. These days, a viral video by an influencer is sometimes all it takes to trigger huge orders and subsequently, a sudden surge in transport demand. An intelligent digital platform makes it possible to respond to this by quickly notifying the carriers best suited to the situation at hand.