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industry

Transport and Logistics

Create modern, cloud-based data solutions to understand and forecast customer demand, manage inventory, optimize routes and supply chains, and improve workforce management.

overview

Rapidly advancing urbanization, ecommerce and global supply chains mean that big data analytics is becoming critical to well-managed transportation.

Data has become a crucial tool in predicting demand, managing fleets and planning their maintenance, being sustainable and becoming more customer centric. Rich data sets enable better run organizations by giving you tools for failure prediction and automated root-cause diagnosis to the ability to mine valuable customer feedback. We help clients unlock information insight, manage your assets, and adopt a data-driven culture to support your organization’s goals.

Leading Transport and Logistics Solutions

WHY ADDO AI

The Addo AI Experience

Deep domain expertise in Transport & Logistics

Partner with our team of AI, ML, and advanced analytics experts to solve problems across a vast variety of Transport & Logistics use cases.

Extract deep insights from any data

Regardless of the scale or complexity of your data volume, we have expertise in extracting the highest-quality insights—fast and reliably.

Integrate large volumes of data seamlessly & securely

We simplify your data-management challenge and transform the efficiency of your transport and logistical operations.

what we offer

Our Areas of Expertise 

Predictive Maintenance

Fleet breakdowns lead to unexpected service disruptions. Data enables failure prediction and root causes diagnosis, while machine learning automatically enables failure type classification, and guides mechanics with information through AI-powered maintenance actions after failure diagnosis and identification.

Data Strategy

Addo’s data strategy framework links the target state to the broader business strategy to ensure alignment, and prioritizes initiatives, projects, and associated business use cases. .

Cloud Strategy

We define the end-to-end Cloud strategy tailored to your unique preferences; conducting the cloud readiness assessment, defining a cloud/multi-cloud adoption roadmap, and conducting ongoing well architected reviews for cloud workloads.

Customer Experience

Customer experience drives any successful transport company. From automating customer support to incorporating feedback messages, we have used Natural Language Processing to create more responsive customer experiences for our client. This data was then used by us to improve the overall app user experience.

Staffing Optimization

Having insight into incoming shipments, customer delivery schedules, vehicle availability and shift schedules allows transport companies to match expected workload with correct staffing. By integrating data from personnel, transport dispatch, and distribution networks, companies can optimize supply to meet demand.

Multimodal Route Optimization

Route planning is critical in logistics as last-mile delivery must take into consideration factors ranging from road hazards to traffic conditions to weather to customer expectations of package delivery within the allotted schedule. Our command center platform uses real-time data from multiple sources to re-route drivers as needed.

Testimonial

What our Client Say

Rita Nguyen Chief Technology Officer, Collinson

Working with Addo AI has been an enormous pleasure. The team is knowledgeable and well-versed in their respective fields. I appreciated Addo's ability to step into problems that may or may not have been in scope, addressing issues regardless of ownership. I would not hesitate to recommend Addo AI for any data projects.

Tien Tran Data Analyst, CDG

We have truly enjoyed working with Addo AI and are grateful for the exceptional service provided. Your commitment and extra effort have not gone unnoticed. Your support has been instrumental in the successful development of the CDG Data Hub, and I have no doubt it has brought invaluable outcomes for CDG.

Data Mesh Architecture for a Large Transportation Company

Case STUDY

Data Mesh Architecture For a large transportation company

A transportation company was facing multiple challenges resulting from an outdated data architecture, which was hampering its plans to leverage its data as an asset and stay competitive in the industry.

Learn how you can help amplify your potential with AI.

Ready to discuss your project?