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Order Management

All Dataleo news, jobs, analyses and tutorials around Order Management in Supply Chain and Operations.

10 items · 5 news · 1 jobs · 4 insights · 0 tutorials
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Jobs (1)

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HybridFull-time· Permanent· Specialist2026-07-11
K

Specialist, Order Management

Knorr-Bremse Hong Kong
Order ManagementCustomer Fulfilment
The Dataleo angle
The affected decision is whether orders can be confirmed against material, production and delivery reality. Value requires order status to reflect executable supply rather than commercial expectation. The failure mode is reliable administrative processing built on unreliable promise dates.
News

News (5)

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Boscov's moves fulfillment onto Manhattan ActiveOrderMedium
·2026-09-01

Boscov's moves fulfillment onto Manhattan ActiveOrder

Boscov's is moving order, store-fulfillment and inventory processes onto Manhattan ActiveOrder to unify inventory visibility and fulfillment decisions across its retail network.
The Dataleo angle
The planning implication is inventory truth at promise time. Faster optimization is irrelevant if available-to-promise and inventory state are inconsistent between order management and store execution.
Supply Chain Dive
Sunstice and Kbrw connect planning and execution through an agentic decision loopHigh
Supply Chain Planning and Execution·2026-06-23

Sunstice and Kbrw connect planning and execution through an agentic decision loop

Sunstice and Kbrw are partnering to create a continuous decision loop between Supply Chain planning and execution. Kbrw’s platform captures operational signals from order, inventory and fulfillment activity, while Sunstice uses those signals to enrich forecasts, constraints, scenarios and planning priorities. Updated decisions can then flow back into Kbrw’s execution layer. The announcement moves beyond a conventional data connector: both companies position their AI agents as participants in the feedback loop between planning models and operational actions.
The Dataleo angle
The important change is not that two agents can exchange information. It is that execution events may alter planning assumptions and revised plans may immediately influence customer promises, allocation and fulfillment. Value depends on a governed decision contract between the two systems: shared definitions for constraints, priorities, timing, confidence and ownership. The main failure mode is an unstable feedback loop in which short-term execution noise repeatedly changes planning parameters while planning updates trigger further operational reallocations. Without thresholds, versioning and reconciliation, continuous adaptation can become plan nervousness.
Sunstice
Infios adds AI agents for supply chain execution across orders, warehouses and transportationHigh
Supply chain execution, warehouse operations, transportation and order orchestration·2026-05-12

Infios adds AI agents for supply chain execution across orders, warehouses and transportation

Infios has announced new AI agents embedded into supply chain execution workflows. The agents are designed to operate across orders, warehouses and transportation, supporting orchestration inside operational processes rather than sitting outside them as standalone advisory tools.

The announcement is relevant for Supply Chain Execution because it moves agentic AI closer to real operational workflows: order orchestration, warehouse issue resolution, transportation updates and exception handling. Infios positions the agents as part of its broader execution stack across OMS, WMS and TMS environments.

For logistics and operations teams, the signal is that Agentic AI is moving beyond planning and analysis into time-sensitive execution decisions. This raises practical questions around autonomy, supervision, exception thresholds and how AI-driven actions are recorded inside operational systems.

The Dataleo angle

This announcement matters for Supply Chain AI because execution workflows have less tolerance for ambiguity than planning simulations. When an AI agent changes an order path, supports a warehouse supervisor or triggers a transport action, the decision has immediate operational consequences.

The key governance question is therefore not only whether the agent can act, but what it is allowed to act on. Operations leaders need clear decision boundaries, source data validation, escalation rules, audit trails and human override processes before embedding agents into Warehouse Management, Transportation Management and order execution workflows.

FAQ Logistique / Infios
Manhattan Associates makes its AI Agent Workforce commercially availableHigh
AI agents across warehousing, transportation, stores and customer service·2026-01-08

Manhattan Associates makes its AI Agent Workforce commercially available

Manhattan Associates has made its AI Agent Workforce commercially available across supply chain and omnichannel operations. The portfolio covers workflows in warehousing, transportation, stores and customer service, extending AI from assistance toward coordinated operational execution.

The announcement signals that agentic capabilities are moving into production environments where recommendations and actions can affect inventory, fulfillment and customer outcomes.

The Dataleo angle
The affected decision is how Manhattan Associates and its AI Agent Workforce automate Supply Chain execution. Value requires bounded action rights, reliable events and explicit escalation; the principal failure mode is an agent workforce that acts quickly on inconsistent inventory, orders or operating policies.
Manhattan Associates
Oracle adds AI-powered logistics and order-management capabilitiesHigh
·2025-01-30

Oracle adds AI-powered logistics and order-management capabilities

Oracle added AI-powered logistics and order-management capabilities to Fusion Cloud Supply Chain & Manufacturing, targeting fulfillment efficiency, shipment coordination and customer-order execution.

The Dataleo angle

Operational value depends on reliable order, inventory and transport data, plus clear ownership of exceptions and overrides.

Oracle
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Insights (4)

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