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Predictiv AI completes end to end logistics platform for Prompt Xpress

Predictiv AI has announced that its Shift AI platform has completed development of a purpose built, end to end logistics management solution for Prompt Xpress (Pvt) Ltd, one of Sri Lanka’s largest courier and logistics networks.

The platform supports Prompt Xpress’s island wide logistics operations, which include more than 600 transport vehicles and 98 branches, including six regional hubs. The completed platform advances the multi-phase commercial engagement previously announced by the company and expands Shift AI’s role beyond vehicle tracking into broader management of logistics operations.

Under the commercial model, Predictiv AI will charge a transaction fee for each package processed through the Shift AI platform following operational rollout. This ‘per package’ structure is designed to provide the company with recurring, usage based revenue tied directly to delivery volume across Prompt Xpress’s network.

The solution is designed to connect Prompt Xpress’s middle mile transportation and last mile delivery workflows through a single operational environment, providing greater visibility from hub to hub movement through to final delivery.

Built specifically around Prompt Xpress’s operating requirements, the platform combines fleet management, delivery orchestration, route and dispatch coordination, real time tracking, package level analytics, reporting and integration capabilities. The result is a unified logistics operating layer intended to reduce fragmented processes, strengthen operational visibility and support more efficient decision making across Prompt Xpress’s delivery network.

Courier networks frequently manage fleet movements, dispatch activity, package tracking and operational reporting through separate systems and manual processes. Shift AI’s logistics management solution is designed to bring these functions together within one connected platform.

By connecting transportation activity with delivery execution and package level information, the platform is designed to provide Prompt Xpress with a clearer view of how vehicles, routes and deliveries are performing across its network.

‘As our network continues to grow, having greater visibility and control across our transportation and delivery operations is increasingly important,’ said Sajin Alles, chief executive officer of Prompt Xpress. ‘Shift AI brings fleet management, dispatch, package tracking and last mile delivery together within one connected platform. We believe this will help us operate more efficiently, strengthen visibility across our national network and continue improving the service we provide to our customers.

‘This represents an important step in Prompt Xpress’s continued investment in technology and in building a logistics network capable of supporting our growth across Sri Lanka.’

The completion of the logistics management platform represents an important delivery milestone for Predictiv AI and demonstrates the company’s ability to build configurable enterprise software around the operational requirements of a large logistics organisation.

‘Completing this platform is an important product and commercial milestone for Shift AI,’ said Suman Pushparajah, chief executive officer of Predictiv AI. ‘This goes beyond fleet tracking. We have built a complete logistics management solution that connects transportation, dispatch, delivery execution, tracking and operational intelligence within one platform.

‘Prompt Xpress gave us the opportunity to build around the operational realities of a high volume national courier network.

‘What we have developed is not simply a customer specific application. It provides Shift AI with a configurable logistics platform that we believe can be adapted for courier, transportation and last-mile delivery operators in other markets.’

With development of the core platform completed, the next stage of the engagement is expected to focus on operational rollout, integration, deployment testing and user adoption across the Prompt Xpress network.

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