Client's Testimonial

"We move millions of stems a day, and every minute counts. The custom logistics platform Developers.dev built for us has been a game-changer. Their AI team developed a routing algorithm that is light-years ahead of anything off-the-shelf. Our drivers are happier, our customers receive fresher products, and we've seen a direct impact on our bottom line."

COO, FreshFleet

Client Introduction

"FreshFleet" (hypothetical name) is one of the largest floral wholesalers in the USA, supplying fresh flowers to thousands of florists, supermarkets, and event planners. Their logistics operation was managed by a small team using spreadsheets, Google Maps, and a legacy desktop application. This resulted in inefficient routes, high fuel costs, and frequent delivery delays, impacting the freshness of their products.

Problem

FreshFleet's manual and outdated routing process was costing them millions annually in excess fuel, overtime pay for drivers, and product spoilage. They needed a modern, data-driven system to optimize their complex, multi-stop delivery routes in real-time.

Key Challenges

Dynamic Variables

Routes needed to account for traffic, delivery time windows, vehicle capacity, and driver hours in real-time.

Scalability

The system had to manage over 200 trucks making thousands of deliveries daily across the country.

Driver Adoption

The solution needed a simple, intuitive mobile app for drivers who were not tech-savvy.

System Integration

The platform had to integrate with their existing order management system (OMS) and inventory warehouse.

Our Solution

We assembled a specialized team combining our "Python Data-Engineering Pod" and our "Native Android Kotlin Pod." The goal was to build an intelligent logistics platform focused on route optimization and real-time visibility.

🗺️ AI Route Optimization Engine

We developed a proprietary algorithm using machine learning to calculate the most efficient multi-stop routes. The model continuously learns from historical traffic data and delivery times to improve its predictions.

🖥️ Dispatcher Web Dashboard

A real-time web portal allows dispatchers to view all drivers on a map, drag-and-drop orders onto routes, and automatically re-optimize routes when new orders come in.

📱 Intuitive Driver App (Android)

We built a simple, rugged Android app that provides drivers with turn-by-turn navigation for their optimized route, digital proof-of-delivery (photo & signature capture), and a direct communication channel with dispatch.

🔗 Seamless API Integration

We built robust APIs to pull order data from their legacy OMS and push delivery status updates back into their system, creating a unified workflow.

Implementation and Execution

Data Analysis

Our data scientists began by analyzing two years of historical delivery data to inform the AI model.

Algorithm Prototyping

We built and tested several optimization models before selecting the most effective one.

User-Centric Design

We conducted ride-alongs with drivers to understand their pain points and design an app that made their jobs easier.

Parallel Run

For the first month, we ran the new system in parallel with the old one to validate the AI's routes and build trust with the dispatch team.

Rugged Device Provisioning

We helped FreshFleet select and configure durable, vehicle-mounted Android devices for their entire fleet.

Incremental Rollout

The system was rolled out region by region to ensure smooth adoption and support.

Positive Outcome

💸 22% Reduction in Fuel Costs

Precision targeting and optimized messaging significantly improved efficiency.

⏰ 15% Increase in On-Time Deliveries

Better planning and real-time traffic data improved reliability and customer satisfaction.

⏱️ 30% Reduction in Dispatcher Workload

Automation of the routing process allowed the dispatch team to manage a larger fleet more effectively.

👁️ Real-Time Business Visibility

For the first time, management had a live, accurate view of their entire logistics operation.

Why Choose Us

🧠 AI & Data Science Expertise

Our team had the specialized skills to build a complex optimization engine.

🚚 Logistics Domain Knowledge

We have deep experience building solutions for complex supply chains.

🤝 Focus on User Adoption

We designed the driver app for simplicity and reliability, ensuring it would be used.

⚙️ Legacy System Integration

We are experts at connecting modern applications to existing enterprise systems.

💰 Measurable ROI

The project paid for itself in under 12 months through direct cost savings.

💾 Data Engineering Rigor

We built a solid data pipeline to ensure the AI model had clean, reliable data.

👨‍💻 Full-Stack Capability

We handled everything from the complex backend AI to the user-friendly mobile app.

🤝 Collaborative Partnership

We worked as a single team with FreshFleet's operations staff.

🎯 Outcome-Oriented

Our goal was not just to deliver software, but to deliver cost savings and efficiency gains.

Conclusion

FreshFleet's transformation shows that even the most traditional, non-tech industries can achieve massive efficiency gains by leveraging custom AI and data science. By digitizing their core logistics, they created a durable competitive advantage that will serve them for years to come.

AI-Powered Logistics: How a Flower Wholesaler Reduced Delivery Costs by 22%

Industry Wholesale, Logistics, Supply Chain