This Case Shows Specific Expertise. Find the Companies with the Skills Your Project Demands!

You're viewing one of tens of thousands of real cases compiled on Many.dev. Each case demonstrates specific, tangible expertise.

But how do you find the company that possesses the exact skills and experience needed for your project? Forget generic filters!

Our unique AI system allows you to describe your project in your own words and instantly get a list of companies that have already successfully applied that precise expertise in similar projects.

Create a free account to unlock powerful AI-powered search and connect with companies whose expertise directly matches your project's requirements.

Development of Advanced Automation System for Zero-Emission Food Delivery Robots

beon.tech

Food & Beverage

Environmental Services

Logistics

Challenges in Achieving Full Automation and Resource Optimization

Coco Delivery required a ground-up automation solution to minimize human intervention in food delivery logistics while meeting aggressive deadlines. Challenges included developing scalable DevOps processes, real-time pilot-to-robot assignment systems, and resource allocation frameworks to support rapid growth.

About the Client

An eco-friendly delivery company leveraging autonomous robots for food delivery, prioritizing zero-emission operations and resource efficiency.

Key Objectives for Automation Enhancement

Design a fully automated delivery orchestration system
Optimize DevOps workflows for continuous deployment
Implement dynamic pilot-to-robot assignment with real-time tracking
Enable resource reallocation for operational efficiency

Core System Functionalities and Features

Dynamic robot order allocation engine
Pilot availability tracking and assignment system
Real-time delivery status dashboard
DevOps pipeline automation tools
Resource utilization analytics module

Technology Stack Preferences

Cloud-native microservices architecture

Containerization (Docker/Kubernetes)

CI/CD pipeline tools (Jenkins/GitHub Actions)

Real-time data processing frameworks

System Integration Requirements

Existing logistics management systems
Robot telemetry APIs
Human resource scheduling platforms
Financial tracking and reporting tools

Non-Functional Requirements

99.9% system availability SLA
Scalable to handle 10x order volume growth
End-to-end data encryption
Real-time processing latency <200ms

Expected Business Impact of Enhanced Automation

Implementation of this solution is projected to achieve 97%+ on-time delivery rates, reduce operational costs by 40%, and support rapid scaling to meet $56M Series A funding growth targets. The automated resource allocation will enable 30% workforce redeployment to strategic roles while maintaining zero-emission operational compliance.