Home interiors specialist Neptune, has announced a partnership with transport optimisation specialist The Algorithm People, driving efficiency and customer service improvements across its logistics and supply chain network.
The Swindon-based organisation operate a fleet of 50 vehicles, delivering to its network of UK stores and to end user consumers. It is deploying award winning route optimisation technology, developed by The Algorithm People, to plan its deliveries in the most efficient way possible, while also implementing the tech specialist’s capacity planning algorithm to offer dynamic delivery slots in real-time for its customers.
“The Algorithm people have helped us to both unlock significant transport efficiencies and at the same time improve the service we offer our customers,” explains Henry Morland, IT Director at Neptune.
The Algorithm People has also developed a custom mobile app with barcode scanning, delivering an end to solution for Neptune, which integrates with its optimisation algorithms and with Neptune’s Microsoft Dynamics 365 ERP system. “This is a fantastic project to work on,” said The Algorithm People CEO Colin Ferguson. “We are taking all the Neptune customer orders, then planning and scheduling those deliveries to customers, dynamically, in real time, and pushing the jobs to the drivers.”
“The customer has full transparency that the right goods are delivered to the agreed schedule. Kitchen and furniture deliveries can have many boxes and associated parts, and often need to link in with the availability of the trade professional on site. This end-to-end solution gives full visibility and transparency across all points of the delivery supply chain.”
“The Algorithm People offer us a true end-to-end transport solution,” continues Morland. “We can now automate our transport planning to maximise vehicle efficiency, while our transport operations are fully integrated with customer services, allowing our customers and staff to book delivery slots in real time, driving improved customer satisfaction.”
