Transportation Optimization

Smarter transportation and delivery

Challenges

Depending upon the types of goods they produce, manufacturers have to ensure that they arrive in good condition. According to the Food and Agricultural Organizations of the United Nations, approximately 40% of food is lost on average in post-harvest and processing stages, in developing countries. This obviously impacts the food manufacturing, processing and transportation companies. Moreover, most industrial manufacturers are sensitive to increases in any transportation cost. According to Accenture 36% of large, mid and small size organizations have already adopted AI forĀ logisticsĀ and supply chain processes, which means that the rest ones could be left behind by competitors.

Opportunities

Quality management of products through the transit is crucial. AI based transportation optimization leverages route information, weather data, fuel cost and other such factors to arrive at the best possible route as well as to predict the quality of goods at the destination.

Skip to content