Bluerock TMS has introduced its Last Mile Distribution solution to the market, giving logistics operators end-to-end control from depot to doorstep.

The new cloud-native platform manages the complete delivery lifecycle from order intake through to proof of delivery

Launched in the United States and Europe, the new cloud-native platform manages the complete delivery lifecycle from order intake through proof of delivery in a single environment.

Launched following the firm’s work with a limited group of pilot customers, the product is the company’s first publicly available offering in last-mile distribution.

It’s designed to tackle the long-standing problem where most route planning tools stop at dispatch, leaving execution unmanaged and creating what Bluerock calls an “execution black box”.  This costs operators an estimated $10 to $15 (c.£7.50-11) per failed delivery, driving 60% to 70% of inbound customer support calls and exposing companies to regulatory penalties.

“Most platforms stop at route generation. The moment freight moves, visibility is gone,” said Rico van Leuken, CEO of Bluerock TMS. “Ours monitors and adjusts operations across planning, depot, field execution and customer visibility as conditions change.”

The solution combines an AI explainable planning agent, a routing algorithm said to be best-in-class and full support for engine-agnostic planning. Operational capabilities include a fully integrated mobile dispatching application for pre-dispatch loading compliance, a driver app with configurable task sequences, a live trip monitor, IoT-based temperature monitoring and a white-labelled customer visibility portal.

The product is Bluerock’s first publicly available offering in last-mile distribution

The platform runs on Amazon Web Services and connects to existing enterprise resource planning and warehouse management systems via standardised REST APIs (Application Programming Interface).

Wim Mues, VP sales & marketing of Bluerock TMS, said early adopters have achieved a 96% to 98% first-time delivery success rate, compared with an industry average of 88% to 92%, cited by multiple logistics benchmarking studies, along with an 18% reduction in total transport costs.

The platform was built for three distribution segments: high-value retail; B2B warehouse distribution; and healthcare and pharma.

The solution is fully vehicle-agnostic. Users can define their own vehicles within the platform, including cars, vans and trucks, along with the relevant characteristics for planning, such as capacity, loading metres and other constraints. Lighter commercial vehicles are fully supported and the platform also handles vehicles with single or multiple compartments, which is useful for temperature-controlled or multi-product transport runs.

Future releases will further strengthen the platform’s AI layer, advancing from assisted planning toward a ‘self-healing TMS’ that continuously learns from each delivery, dynamically optimises routing and sequencing, and autonomously adapts to real-world conditions.

Current users are already leveraging integrated IoT sensor monitoring and automated deviation alerts to maintain control and resilience across their networks.