Logistics
Shipment data spread across 20 systems. No real time. No transparency.
Typical challenges
- Shipment tracking spread across many systems
- Customer communication manual and reactive
- Damage reports labor-intensive and paper-based
- Freight documents not digitized
- No real-time transparency across the supply chain
What this costs you
Answering status inquiries by hand. Typing up bills of lading. Managing claims in Excel. Creating loading lists manually. Data from partners and subcontractors not integrated.
What’s possible with AI
- Intelligent shipment tracking: real-time tracking with predictive ETAs
- Automatic bill-of-lading processing: digitize documents and extract data
- Damage documentation: AI-assisted capture and classification
- Smart inbox: automatically route and answer customer inquiries
- Data platforms: streaming architecture for real-time decisions
Relevant references
- Kühne + Nagel — streaming data platform for shipment data
Matching entry offers
- Data Quick Scan: assess your data landscape and real-time potential
- Document Test Run: automatically process freight documents
How we solve these challenges in your industry
Business CaseDocument ProcessingYour employees are typing data out of documents by hand — every day, error-prone, expensive.Business CaseSmart Inbox ProcessingHundreds of emails a day, manual routing, missed deadlines. Your employees sort instead of doing actual work.Business CaseData PlatformsData trapped in silos, reporting takes days, AI initiatives fail because of poor data quality.
Where this already works
Otto, Kühne + Nagel, EOS — Logistics, Retail & Finance
Data Engineering for Logistics and Retail
Result: Real-time shipment data, data quality as the foundation for AI, a new core system for debt collection
How to get started
Free, 30 minutes, concrete potential for your industry.
Start Data Quick Scan