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Route Optimization
As supply chains compete in an increasingly complex and rapidly changing business environment, The agility of the supply chain is also an important competitive advantage. Agile supply chain, ability to respond quickly to unexpected and sudden changes in demand and supply ability.
anaplatforms Supply Chain SolutionsWith the increase of rapidly growing data, the problem of how to combine this data also arises. On the Supply Chain, even if businesses provide visibility into the data, this visibility, action or agility. may not always be sufficient. In order to achieve agility, the data shared throughout the chain must be able to be processed/analyzed in a way that enables action and decision making. For this reason, we will be offering big data analytics (BVA) applications to businesses to manage their Supply Chain.
The purpose of our demos is to examine the moderator effect of big data analytics in supply chain relations with examples.
Not only can analytics and data help you better prepare and manage your inventory levels, but they can also guide decision-making around equipment maintenance and fleet maintenance.
Drawing data from different tech systems or software solutions like your shipment route planner’s internal vehicle tracking helps you determine when vehicles in your fleet need maintenance or service. You can monitor distance traveled and track any issues reported about a vehicle to help you schedule maintenance checks more effectively.
Some companies also use predictive artificial intelligence to identify patterns in defective or failed equipment. This same technology can also point to anomalous machine behavior. You can use this data to address equipment issues and pre-empt the same issues in the future, dealing with them before the problem arises. Overall, this improves productivity and the efficiency of your supply chain.
Transport management systems (TMS) help transport managers and other transportation team members deal with transport operations. Predictive analytics enhance the capabilities of TMS systems, anticipating issues before they occur and improving the general supervision of transportation operations.
Transportation operations and shipment routes are very sensitive elements to manage as plans can change on the fly. There are a variety of factors that can take a shipment status from on-time to late or delayed.
Analytics helps better deal with the unexpected circumstances and risks surrounding shipment routing. An analytics system can observe weather conditions, traffic patterns, shortages, and other factors. It can then use its analysis to adjust shipment routes to provide sensible, quicker, and shorter options. Overall, this reduces risks, uncertainties, and delays in shipment deliveries.