Multinational Retailer Boosts Delivery Efficiency with 89% Increase in Driver Utilization Rate

A prominent multinational retail chain reached out to Lyve with a pressing need for a comprehensive software solution. Their objective was to streamline and manage their entire delivery operations from start to finish. This included the entire process from order placement to final delivery. Additionally, they sought to enhance the visibility of their entire delivery cycle to ensure better monitoring, tracking, and efficiency. By partnering with Lyve, they aimed to overcome existing operational challenges and achieve a more seamless, transparent, and efficient delivery process across their extensive network.

The Challenges:

The client encountered multiple obstacles in managing their delivery operations:

1. Driver Availability: The client needed more driver availability to meet the high demand.
2. High Volume of Orders: They struggled to manage and process large numbers of daily orders efficiently.
3. Manual Order Assignment: They sought to eliminate the time-consuming and error-prone task of manually assigning orders to drivers.
4. Delayed Deliveries: The client aimed to reduce the frequency of late deliveries.
5. Lack of Real-Time Tracking: They needed a system to enable real-time tracking for improved operational control and enhanced customer transparency.
6. Inefficient Route Planning: The client wanted to optimize routes to ensure timely deliveries and reduce fuel costs.

Lyve’s Solution: Key Implementation Steps

1. Digitizing Delivery Operations: Lyve shifted the client’s delivery operations from manual to digital, automating all tasks and integrating them into a single platform. Clear Service Level Agreements (SLAs) were defined to establish measurable performance benchmarks. This digital transformation streamlined operations, minimized errors, improved efficiency, and provided better data for decision-making.

2. Automated Dispatching Logic: Lyve introduced automated dispatching logic to assign orders based on factors like location, driver availability, and urgency. Using advanced algorithms and machine learning, the system made real-time decisions to optimize driver routes, reduce manual assignments, and minimize delays, thereby enhancing overall efficiency.

3. Real-Time Tracking Tools: Lyve provided real-time tracking tools for enhanced visibility and control. The client could monitor driver locations and delivery statuses in real-time, with SLA tracking alerts for potential breaches. This transparency allowed proactive issue resolution, improved customer communication, and ensured higher service reliability.

4. Phased Roll-Out: Lyve adopted a phased roll-out approach over two years, gradually covering all client stores across multiple countries. This method allowed for thorough testing and refinement, ensuring a smooth transition with minimal disruption, enabling the client to adapt to the new system gradually.

The Results