The modern customer demands speed and convenience, and a single-warehouse model often can’t keep up. Distributed Order Management (DOM) allows you to leverage your entire stock network—including your own warehouses, 3PLs, dropshippers, and even retail stores—to fulfil orders in the most efficient way possible.
Modulus365’s DOM platform provides the intelligence and automation to manage your entire fulfilment network from a single dashboard. We empower your business to fulfil like Amazon, using every available stock location to get orders to customers faster and at a lower cost.
Our system uses a powerful, rules-based engine to route every order to the optimal fulfilment centre. This isn’t just about location; it’s about making the best possible decision for every order.
Modulus365 can be configured to route orders based on:
For orders containing items from different locations, our system provides the flexibility to choose the best fulfilment strategy. Modulus 365 can split an order between multiple warehouses to ensure every item is dispatched from the closest possible location.
For instance, if a customer orders a t-shirt from your main warehouse and a pair of shoes from a 3PL, our system can split the order and send it out as two separate packages with two tracking numbers. The customer is automatically notified, ensuring a transparent and seamless experience. This approach guarantees that you can sell every item of stock without being constrained by location.
Managing a distributed network doesn’t have to be complicated. Modulus 365 provides a single, unified view of your stock and operations across all locations.
This level of visibility and control allows you to make data-driven decisions that save time, reduce costs, and improve customer satisfaction.
Don’t let manual order management hold you back. Modulus 365 provides the automation, accuracy, and efficiency you need to fulfil like the best in the business.
Request a demo to see our system in action and discover how we can transform your e-commerce fulfilment process from end to end.