HybridFull-time· Internship· Internship2026-06-01
The Dataleo angle
The role is relevant because logistics transformation depends on how data, automation and operating-model choices are integrated into governed execution workflows.
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TMS
All Dataleo news, jobs, analyses and tutorials around TMS in Supply Chain and Operations.
6 items · 4 news · 1 jobs · 1 insights · 0 tutorials
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News (4)
HighFreight brokerage·2026-08-24
Descartes acquires Tai to expand AI-enabled freight brokerage
Descartes has acquired Tai, adding a freight-broker TMS to its Global Logistics Network and tightening the link between network visibility and transactional execution.
The Dataleo angle
The strategic value is in collapsing the distance between visibility and execution. A freight network becomes more actionable when market signals can flow directly into quoting, sourcing and shipment decisions. The condition for value is workflow and data continuity across those layers; the failure mode is adding another interface without materially shortening the decision-to-execution cycle.
Descartes Systems Group
MediumFulfillment Decision Workflows·2026-06-26
Stord opens live fulfillment data to AI workflows through MCP
Stord launched a Model Context Protocol server that makes its fulfillment data accessible from external AI assistants and workflows. Customers can query orders, inventory positions, warehouse status, and carrier events in natural language without building a custom integration for each assistant. Stord reports that True Classic tested this connection with Claude. MCP access is currently read-only, while operational actions remain supported in the StordAI environment.
The Dataleo angle
The important signal is not the addition of a chatbot to a 3PL portal, but the separation between the system that holds operational context and the interface where the decision is prepared. MCP can reduce the time required to check available inventory, identify an at-risk order, or adjust a promotion. However, it determines neither the business priority, nor the required confidence level, nor the person authorized to act. As long as access remains read-only, Stord primarily improves access to context; decision value still depends on the workflow that transforms the response into action. The main risk is that a technically correct answer is used outside its operational context: unreleased inventory, incomplete carrier event, customer promise already committed, or data accessible to a role that should not arbitrate the decision.
Corey Weekes / Stord
HighIndustrial AI, integrated planning and supply chain execution·2026-06-17
Cognite launches an AI-powered Integrated Supply Chain offering for industrial operations
Cognite has launched an AI-powered Integrated Supply Chain offering designed to connect production, procurement, distribution, logistics and execution. The offer combines industrial data contextualization, connectors to ERP, WMS, TMS and planning systems, semantic models and AI agents that can assess operational constraints in real time.
The announcement extends Cognite’s industrial AI positioning beyond plant operations into end-to-end supply chain decision support. Deloitte and FourKites are involved in the broader ecosystem, reinforcing the link between industrial data, logistics visibility and operational execution.
The value proposition is a more connected view of trade-offs across production performance, supplier commitments, inventory, logistics and customer service, rather than isolated optimization within each function.
The Dataleo angle
This is relevant for Supply Chain AI because it points to a governed decision layer between operational data, planning platforms and execution systems. The critical issue will be ownership of semantic models, shared definitions and trade-off logic across OEE, OTIF, inventory and service.
Before scaling, companies should define which decisions agents may influence, how recommendations are validated and how data lineage is preserved across ERP, WMS, TMS and industrial systems.
Cognite
Medium·2025-07-15
Transportation leaders expect autonomous agents to reshape TMS operations
A Manhattan Associates study found that 61% of organizations expected fully autonomous agentic AI in transportation management within five years, while only 37% had deeply integrated AI and machine learning into their TMS.
The Dataleo angle
The readiness gap highlights the need for data quality, process ownership and controlled automation before autonomous transportation decisions scale.
Manhattan Associates
Editorial
Insights (1)
Dataleo Insight· Supply Chain Risk2026-03-31
Controlled autonomy will define AI-enabled disruption management
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