Logistical frameworks, hardware, software, and service providers for a global market
From guaranteeing packages are delivered on time, to ensuring parts are properly working and the company is getting the most from its enterprise assets, analytics reduces operational costs, limits downtime, and increases overall operational efficiency.
Assets define a company, keeping them operational and online is imperative. Utilizing advanced analytic tools and data can improve operational efficiency as well as reduce costly downtime. Predictive asset maintenance can protect high-value physical assets as well as foresee upcoming problems that might extend the life cycle of those assets. Analytics provides is a tool for determining where and when downstream bottlenecks might occur.
Stay ahead of the customer by optimizing operations with technologies like real-time data interaction, cloud computing, intelligent chatbots, artificial intelligence, and machine learning. End-to-end data visibility provides real-time insights that will streamline supply chains, increase customer engagements, and drive strong growth and healthy profits.
Package flow technology uses smart labels to route packages ensuring the package is in the right place at the right time, on the right conveyer belt, even down to the right spot on a delivery truck for quick, seamless, and optimized drop off. Visualizing processes can allow for timey delivery of packages down to the minute.
Anticipatory shipping forecasts when and where an item will be purchased by a customer based on their buying habits. Ergo, stocking a product at a hub near the customer in expectation of an order. Once the order comes in, the product can be sent from a nearby hub in a much shorter time frame due to its ensured availability there.
Track products in real-time; from the production phase all the way through to the last mile. Vehicles, packages, and employees managed and tracked to instantly provide invaluable intelligence on the business. The continuous monitoring of devices and packages leads to better delivery, more informed customers, and improved status of shipment.
As the crow flies is not a delivery option for any logistic company, so finding the other best route reduce package delivery times as well as cut costs. Juggling fleet information, pickup and delivery schedules, GPS tracking data, even information about the density of traffic and the weather can be useful in optimizing route schedules.
Utilizing predictive analytics, a Transportation Management System can track and manage shipments and lead times as well as predict future disruptions before they occur. Logistics companies can proactively manage their operations, keeping up with seasonal buying patterns and forecasts to help suppliers make more informed decisions.
Warehouse robotics market was valued at USD 4.7 billion in 2021. $4.7 billion value of warehouse robotics in 2021
Cem Dilmegani. “Top 15 Use Cases and Applications of AI in Logistics in 2022.”
Scott DeLong, CEO, L2G
Senior consultants with previous experience with these types of projects can set the stage for a well-framed engagement.
A focused session on your specific software applications, platforms, or projects. Typically this includes technical resources from both sides.