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.
Top signals
Latest Supply Chain AI news

Sippy plans Smart Stock to anticipate beverage replenishment without customer inventory records
Featured analysis

Latest jobs
Director, Inventory Optimization and Operations Planning
S&OP Planning & Optimization Analyst
Global ISC Continuous Improvement Manager, Supply Chain
Alerts & events
EVENT: The supply chain you have vs. the one you need
EVENT: Algo webinar examines when supply chains should use forecast-driven push versus demand-driven pull
EVENT: TDWI, SAP and Databricks examine real-time context for production Supply Chain AI
EVENT: Gartner examines the gaps in Supply Chain AI value realization
Latest tutorials
Most active in the ecosystem
The 3 players with the strongest activity (news, jobs, alerts) over the last 7 days.
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.
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.
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.
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