The solution, based on the market freight exchange B2PWeb, provides to users a comfort of work and an optimization of their means by shrinking the rate of emptiness and the parasitic kilometres by choosing the best load. The relevant way in front of the right freight offer for a better profitability and a reduction of greenhouse gases. Thanks to a complex algorithm within the application the operator or the driver himself can make an efficient search quickly and easily that takes into consideration toll cost, detour distance, weight and size available in the truck. As a carrier or freight forwarder, for a low investment, and with the right business model, the return on investment is almost automatic. There is a reduction of parasitic kilometers and an optimization of empty space in the vehicles.
Vendors & operators are unable to assess the performance, the need for maintenance and consumable replenishment of their water assets because they are offline today. This includes sanitary ware, filtration systems and appliances. Droople is building the Internet of Water based on IoT & AI connecting 100B+ assets to monitor them, predict their maintenance and enable water-energy savings for those operators and vendors via a hybrid business model based on hardware sales and software subscription plan. Droople’s solution aims to reduce unplanned interventions, 24/7 monitoring of your assets in the field, increase your consumable sales and enable water-energy savings.
We have reached a pivotal moment where climate change is finally moving to the forefront of everyone’s minds, thus creating a demand for industry to create new solutions to the problems we are facing. With this rapid shift in the public’s mindset, individuals increasingly want to take responsibility for their environmental impact into their own hands, however, they struggle to do so because of a lack of actionable knowledge, limited access to sustainable solutions, and their skepticism about individual impact. Since people still struggle to make sustainable choices, there is a huge opportunity in guiding them towards living more sustainable lifestyles. Eevie embeds a behavior detection algorithm with more than 1 billion data points resulting in a behavior detection accuracy above 90%.
Today, most disposable products are made from different plastics, making recycling and the production of valuable recyclates more difficult. At the same time, the low level of digitalisation in this industry makes it difficult for buyers and sellers to get an overview of the available material and the prices per commodity. To meet this challenge, the Cirplus platform connects the fragmented and opaque markets of waste owners, recyclers, converters and distributors, closing the loop within the plastics industry. Cirplus sets standards for recyclates and plastic waste, follows the material across the globe via track & trace and creates transparency in terms of availability, quantities, qualities and prices. Ultimately, the goal of Cirplus is to reduce transaction costs for recycled plastic and therefore create solid economic incentives for the value chain to switch from virgin to recycled.
OptiML is a machine-learning predictive modeling software that generates accurate results from extremely small datasets, as little as 5 experiments. The solution enables process chemists across the industry to develop reactions 3 times faster, reduce resource consumption and greenhouse gas emissions, and reach novel and more efficient processes. It predicts the output of thousands of experiments using only a few points, leading to better final results in a faster timeline. OptiML enables chemical companies to innovate and implement more sustainable processes.