Supply Chain AI · daily radar

Less hype. More decision impact.

Dataleo Supply Chain AI Radar tracks news, jobs, tools and signals at the intersection of AI, Supply Chain, planning and operational decision-making.

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02 / News

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·2026-10-11High

SKU.io unifies make, buy and transfer planning in one demand workflow

SKU.io introduced Make, buy & move on October 11, 2026, combining manufacturing, purchasing and interwarehouse transfer requirements in one demand plan. BOM-dependent demand feeds draft orders that remain subject to approval.
SKU.io unifies make, buy and transfer planning in one demand workflow
The Dataleo angle
One demand plan can align procurement, production and stock movements without making the plan inherently feasible. Reliable BOMs, sourcing rules and lead-time assumptions are prerequisites; otherwise the result is consistently wrong draft execution.
03 / Featured

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04 / Jobs

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06 / How-to

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07 / Ecosystem

Most active in the ecosystem

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The 3 players with the strongest activity (news, jobs, alerts) over the last 7 days.

N

NVIDIA

Software vendor
Active 7d
6 news

NVIDIA provides accelerated computing, enterprise AI software, simulation, digital-twin and robotics technologies. Its portfolio supports Physical AI and large-scale optimization across industrial and Supply Chain use cases.

NVIDIANVIDIA AI EnterpriseOmniverse+3
O

OMP

Software vendor
Active 7d
4 news

OMP is a specialist supply chain planning vendor whose relevance for the Dataleo Radar audience is not generic planning coverage, but deep planning capability for complex, constraint-heavy environments. Its core platform, Unison Planning , is particularly relevant for manufacturers facing multi-site capacity constraints, recipes, campaigns, shelf life, sequencing, substitutions and high operational interdependence. The practical entry point is Supply Chain Planning across multiple horizons: demand planning, S&OP, operational planning, supply planning, scheduling and network design. OMP is strongest where planning feasibility matters as much as planning alignment, especially in process industries, life sciences, chemicals, consumer goods and industrial manufacturing. For AI supply chain teams, OMP should be assessed through the lens of decision support rather than chatbot-style automation. The relevant capabilities are scenario simulation, exception prioritization, constrained response options, planner collaboration and the ability to translate demand or supply shocks into feasible plans. This connects Scenario Planning , Constraint-Based Planning and Production Scheduling . OMP customer references include large industrial and life-sciences organizations such as Johnson & Johnson, AkzoNobel, AstraZeneca, Bayer and other manufacturing groups cited in OMP public materials. These references matter because the platform is often selected where planning complexity is structural rather than temporary. The strongest fit is companies that need industrial planning depth, not only a flexible modeling layer. Implementation success depends on process discipline, planning master data, cross-functional ownership and planner trust in optimization outputs. The governance question is how recommendations are explained, challenged and converted into approved planning decisions.

OMPUnison PlanningSupply Chain Planning+5
M

Manhattan Associates

Software vendor
Active 7d
2 news2 alerts

Manhattan Associates develops cloud-native software for warehouse management , transportation management, order management, labor, fulfillment and omnichannel commerce. Its Manhattan Active platform is designed to connect front-end commerce with back-end Supply Chain execution. The company is expanding its portfolio with AI agents , agent-building tools and automation capabilities for operational workflows across stores, warehouses, transportation and customer service.

Warehouse ManagementTransportation ManagementOrder Management+3
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