Departments
Logistics & Supply Chain
Enhancing logistics with predictive analytics and AI to streamline supply chain management
Managing complex supply chains requires real-time visibility, accurate demand forecasting, and efficient operations Businesses need AI-powered tools to anticipate disruptions, optimize inventory, and coordinate shipments across channels
We deliver advanced data pipelines, predictive models, and automated workflows to boost agility, cut costs, and keep supply chains moving smoothly
Future trends
AI in Demand Forecasting
Demand forecasting is the #1 AI use case, with 87% adoption, delivering over 35% improvements in forecast accuracy
AI-Optimized Inventory Management
AI systems cut stockouts by 28% while boosting working capital utilization, transforming supply chain agility
AI-Powered Supply Planning
By 2030, 58% of supply planning will occur in AI-driven metaverse environments, with simulations reaching 96%+ forecasting accuracy
Future trends
fuel savings
thinking.incAI routing cuts fuel costs
Parcel operators using AI-optimized routes saved EUR 180 million annually in fuel, boosting profit margins.
AI-optimized routing reduced fuel usage, saving EUR 180 million a year for a parcel operator.
thinking.inc
unplanned downtime reduction
thinking.incAI predictive maintenance cuts downtime
Deploying AI predictive maintenance in freight fleets lowered unplanned vehicle downtime by 30%, improving uptime and on‑time delivery pools.
AI predictive maintenance reduced unplanned downtime by 30% for a freight company.
thinking.inc
Truck wait reduction
The Thinking Company自主码头卡车等待降20%
自主码头管理将卡车等待时间在 6 个月内降低 20%，提升码头吞吐效率。
自主码头管理将卡车等待时间降低 20%。
The Thinking Company
machine customer revenue share
GartnerMachine customers to drive 20% of revenue
Demand from machine‑based customers is expected to constitute more than 20% of supply‑chain revenue over the next decade, forcing providers to adapt.
Machine‑based customers are projected to account for >20% of supply‑chain revenue in the next decade.
Gartner
Our use cases
We can build models that predict demand patterns, helping to optimize stock levels and reduce waste
We provide dashboards that aggregate data from multiple sources, enabling proactive issue detection and faster decision-making
We deliver AI agents that monitor shipments and automatically notify stakeholders about delays or exceptions
We help analyze supplier data to identify risks, improve vendor selection, and optimize procurement processes
We can automate repetitive tasks like order processing, invoice matching, and compliance checks to increase efficiency
We provide tools to track environmental impact and support clean, efficient logistics practices