NDA: AI Supply Chain Optimization
The platform uses AI to optimize delivery routes dynamically. It enhances on-time performance and reduces operational costs.
Description
The client operates a network of logistics and distribution hubs across Europe. Their goal was to improve delivery reliability and minimize costs in a complex supply chain environment.
The platform enables real-time tracking, automated route adjustments, and better driver assignments to adapt to unforeseen events like traffic congestion, weather conditions, or urgent orders.
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Industry
Logistics
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Platform
Web & Mobile
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Team
8 members
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Time
Jan 2024 – Ongoing
Key Features
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Dynamic Route Planning
Traffic, weather, and order priorities are all factored in to reduce delays and minimize manual planning.
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Automated Driver Assignment
Routes are assigned automatically based on driver availability, location, and vehicle capacity.
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Real-Time Tracking
Shipments and vehicles are tracked live. Dispatchers gain full visibility across the entire transportation network.
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ERP & Transportation System Integration
The platform connects seamlessly with existing ERP and transportation systems.
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Flexible Notifications
Route changes, delays, or urgent deliveries trigger immediate notifications for drivers and logistics managers.
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Data Analytics Dashboard
Managers access metrics on performance, route efficiency, and predictive insights.
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Scalable Architecture
The system is built to grow with partner's logistics operations.
First Steps
The team began by analyzing current supply chain challenges and identifying unpredictable delivery windows and manual route adjustments. We mapped technical feasibility against operational goals and compliance requirements, setting a foundation for a flexible AI platform.
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1
Initial Communication
We collaborated closely with the client to define workflows for drivers, dispatchers, and management. Route planning logic, integration points, and notification systems were carefully outlined to ensure clear responsibilities and a seamless user experience.
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2
Development Process
Special attention was given to the accuracy of the AI model and its real-time responsiveness. Edge cases like urgent orders and extreme weather were simulated. The system was validated for reliability under all conditions.
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3
The First Launch
Web and mobile interfaces for dispatchers and drivers went live. Dynamic route planning and live tracking were introduced. The initial release established a stable foundation for ongoing optimization and future enhancements.
Our Team Behind the Project
Close collaboration with the client's operations team ensured AI outputs matched real-world logistics constraints. Developers focused on AI integration and system performance.
QA engineers validated edge cases and usability. Designers created intuitive dashboards for rapid comprehension and ease of use.
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Client
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1
PM/BA
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4
Developers
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1
Designers
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2
QA
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Considerable achievements
AI Supply Chain Optimization app brought measurable improvements:
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AI-Powered Route
OptimizationThe platform calculates optimal paths considering traffic, weather, and delivery priorities.
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Automated
OperationsDriver assignments and route updates are automatically processed, reducing errors and improving efficiency.
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Real-Time Supply Chain
VisibilityDispatchers and managers gain instant insights for proactive decision-making.
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Performance Metrics
- 18% lower fuel consumption across the fleet
- 15% more on-time deliveries to retail and distribution hubs
- 30% fewer manual route changes for dispatch teams
Key deliverables
AI-Powered Route Planning:
Dynamic path optimization for all deliveries
Real-Time Vehicle Tracking:
Continuous shipment status updates
Automated Driver Assignment:
Efficient route distribution
Integration with Existing Systems:
Smooth ERP and transportation system connectivity
Analytics Dashboard:
Insightful metrics for logistics performance
Flow
Initial briefing
Understanding supply chain pain points
Designing a team
Hiring and onboarding
Engineering
AI and platform development
Testing
Validating edge cases and usability
Launch
First web and mobile release
Support
Ongoing optimization and maintenance
Tech Stack
List of technologies we used to build the platform:
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NetworkX
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Pyomo
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Scikit-learn
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PyTorch
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Prophet
Testimonials
Softermii has a hard commitment towards the project delivery on time without any delay.
We ended up by having a very attractive product that can compete with any other virtual platform.
Softermii are great with time management and produce high-quality work.
Because of how satisfied we've been with their work on this project, we're exploring bringing them in on a new project as well.
They were really on top of everything.
They know how important my timelines were and they made sure that they're dead to them and got everything done quickly.
The team is really flexible with picking up urgent bugs.
I found that is a really good working relationship in that sense that the prices are very reasonable and they are accessible even over the weekend.
Softermii delivered a technically sophisticated app.
It integrates multi-party video conferences with social media dynamics. These guys proven to be a professional, reliable, and effective partner.
I would highly recommend Softermii for any programming needs.
I am consistently impressed by the quality of the work and team effort brought forth by everyone that we've worked with.
Excellent programming skills and timely delivery.
They were able to take our poorly documented description and deliver a world-class app.
They delivered amazing results and worked through holidays to make sure I could deliver on the project deadline.
The results were consistently top quality and the devs are friendly and responsive.
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