Solving B2B Delivery Bottlenecks with VROOM Route Optimization
How we customized the open-source VROOM engine to transform a B2B beverage startup's delivery operations, reducing route planning time from hours to minutes and improving delivery efficiency by 40%.
Project Overview
Cuptime, a growing B2B beverage startup, was experiencing significant challenges in managing their daily flask pickups and drop-offs for office and institutional clients. With over 900+ daily deliveries across various areas, their manual route planning process was consuming valuable hours and impacting operational efficiency.
Our team at Noukha Technologies stepped in to customize the open-source VROOM (Vehicle Routing Open-source Optimization Machine) engine to suit their specific delivery workflows. The result was a smart route planning system that reduced turnaround time, improved delivery coordination, and transformed their logistics operations.
Client Profile: Cuptime
- Industry: Tech-enabled B2B beverage delivery
- Service: Daily delivery of hot cup beverages via subscriptions
- Scale: 900+ daily deliveries fulfilled across multiple areas
- Target Market: Offices and institutions
The Challenge: Manual Route Planning Bottlenecks
Before implementing our VROOM-based solution, Cuptime faced several critical operational challenges that were hindering their growth and efficiency:
Key Problems Identified:
- Time-Consuming Manual Planning: Manual route planning consumed valuable hours daily, impacting overall productivity and daily dispatching efficiency
- Inconsistent Route Quality: Routes varied significantly based on who planned them, leading to delivery delays and customer confusion
- Poor Real-time Adaptability: The team couldn't respond quickly to on-road changes like traffic diversions, cancellations, or urgent requests
- Scalability Issues: As delivery volume grew to 900+ daily orders, manual processes became increasingly unsustainable
- Resource Wastage: Suboptimal routes led to increased fuel costs, longer delivery times, and rider fatigue
Our VROOM Solution: A Game-Changing Approach
We chose to implement a custom solution based on VROOM (Vehicle Routing Open-source Optimization Machine), an open-source optimization engine that provides excellent solutions to vehicle routing problems within minimal computing time.
What is VROOM?
VROOM is a high-performance, open-source routing optimization engine written in C++20 that aims to provide good solutions to various real-life vehicle routing problems (VRP) within small computing times. Originally developed by Verso to power route optimization APIs, VROOM supports multiple problem types including:
- TSP: Traveling Salesman Problem
- CVRP: Capacitated Vehicle Routing Problem
- VRPTW: VRP with Time Windows
- PDPTW: Pickup-and-Delivery Problem with Time Windows
Why VROOM + OSRM is a Game Changer
We integrated VROOM with OSRM (Open Source Routing Machine) to create a powerful, cost-effective routing solution:
- Lightning-Fast Performance: Continental-sized networks processed within milliseconds
- Open Source & Cost-Effective: No licensing fees, fully customizable
- Real-World Data Integration: Uses OpenStreetMap data for accurate routing
- Scalable Architecture: Can handle large delivery fleets and complex constraints
Technical Implementation
Our custom VROOM implementation was tailored specifically for Cuptime's B2B beverage delivery requirements, integrating seamlessly with their existing order management system.
Core Technical Stack
Route Optimization Engine
VROOM v1.14 with custom algorithms for B2B delivery constraints
Routing Data
OSRM backend with OpenStreetMap data for accurate Indian road networks
Integration Layer
Custom REST API for seamless integration with existing systems
Real-time Updates
WebSocket connections for live route adjustments and tracking
Custom Features Developed
- Time Window Optimization: Accounts for office hours and preferred delivery times
- Vehicle Capacity Management: Optimizes load distribution across delivery vehicles
- Priority Delivery Handling: Supports urgent orders and VIP clients
- Multi-depot Support: Handles pickups from multiple preparation centers
- Dynamic Re-routing: Real-time route adjustments for cancellations and traffic
Optimized Delivery Workflow
Our VROOM-powered system transformed Cuptime's delivery process into a streamlined, automated workflow that maximizes efficiency and minimizes manual intervention.
Order Placement & Aggregation
Customer orders are automatically collected and aggregated by delivery zones and time windows.
Intelligent Route Planning
VROOM engine processes all orders, vehicle constraints, and delivery preferences to generate optimal routes within seconds.
Smart Rider Assignment
The system automatically assigns the most suitable rider based on location, capacity, and workload using advanced algorithms.
Route Execution & Tracking
Riders receive optimized routes on their mobile devices with real-time navigation and delivery tracking.
Dynamic Optimization
Real-time adjustments for traffic conditions, cancellations, or urgent orders without disrupting the entire route.
Key Benefits Delivered
Automated Route Planning
Reduced route planning time from 2-3 hours to under 5 minutes daily
Consistent Route Quality
Eliminated human error and inconsistency in route planning across all dispatchers
Real-time Adaptability
Instant route adjustments for traffic, cancellations, and emergency orders
Scalable Operations
System handles 1000+ daily deliveries with room for exponential growth
Cost Optimization
Reduced fuel costs and delivery time through optimized routing algorithms
Enhanced Customer Experience
Improved delivery reliability and reduced customer wait times
Results & Impact
The implementation of our custom VROOM solution has delivered transformative results for Cuptime, significantly improving their operational efficiency and customer satisfaction.
Long-term Impact
- Operational Scalability: System ready to handle 5x current delivery volume without additional planning resources
- Competitive Advantage: Faster, more reliable deliveries differentiate Cuptime in the B2B market
- Data-Driven Insights: Rich analytics enable continuous optimization and strategic decision-making
- Foundation for Growth: Robust infrastructure supports expansion into new markets and service offerings
Conclusion
The Cuptime VROOM project demonstrates the power of thoughtful technology customization in solving real-world logistics problems. By leveraging open-source solutions like VROOM and OSRM, we created a cost-effective, scalable routing system that transformed their delivery operations.
This case study showcases how the right combination of advanced algorithms, real-world data, and custom development can turn operational bottlenecks into competitive advantages. The success of this implementation has positioned Cuptime for sustainable growth while significantly improving their service quality and operational efficiency.
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