Inventory Planning
All Dataleo news, jobs, analyses and tutorials around Inventory Planning in Supply Chain and Operations.
Jobs (8)
Pre-Sales & Account Manager
The role is relevant where commercial ownership requires substantive planning and inventory knowledge.
The role is relevant because it connects SAP IBP, S&OP, demand, inventory and supply planning with governed decision processes.
Product Manager — Tire Brands
The role is relevant where product strategy must translate into governed demand, stock and replenishment decisions across the operating network.
Inventory Planning Assistant Manager / Staff
The role is relevant to inventory-policy ownership, forecast alignment, exception management and controlled stock decisions.
Supply Chain Planning Engineer
Category Planner — Central Hub
The role is relevant to inventory-policy ownership, forecast alignment, cross-functional planning and controlled management of category assumptions.
Director of Deliver Operations Planning
This role is a strong signal that global healthcare supply chains are formalizing the planning layer between operations and enterprise decision forums. The emphasis on IBP, Decision Frameworks and Planning Governance is directly relevant to organizations preparing for AI-enabled planning at scale.
News (21)
Amart replaces legacy planning with AI-driven forecasting and replenishment
Target turns its inventory network into a digital twin
RELEX highlights AI planning breadth in Nucleus SCP Value Matrix
GEP index signals renewed buffer-stock building as supply disruption fears rise
US Defense Logistics Agency applies Nicolas Vandeput’s demand-forecasting framework
The US Defense Logistics Agency says its headquarters planning organization is applying the five-step process described in Nicolas Vandeput’s Demand Forecasting Best Practices as part of a broader machine-learning planning transformation.
The initiative highlights downstream demand visibility, inventory-policy data and inconsistent data standards as major requirements and constraints.
This is a significant example of a forecasting framework being applied in a complex public-sector supply network. The main issue is not model selection alone but access to downstream demand and inventory data, common standards, decision ownership and validation under mission-critical conditions.
Before scaling machine learning, DLA planners need governed data definitions, accountable owners, measurable baselines, human review and clear fallback procedures when recommendations conflict with operational priorities.
AGR compares the 2026 inventory-planning market as companies move beyond spreadsheets and basic ERP
AGR published a comparison of inventory-planning platforms including RELEX, Slimstock, EazyStock and Netstock. The article reflects growing demand for dedicated forecasting, replenishment and inventory-optimization capabilities beyond spreadsheets and standard ERP functionality.
2026 Inventory-Planning Review Shows Automation Shifting From Forecasting to Replenishment Decisions
A June 19 comparison reviews AGR, RELEX, Slimstock, EazyStock and Netstock across forecasting, inventory optimization, replenishment and planning automation.
Platform selection should begin with the decisions and data model, not the feature list. Buyers should test parameter ownership, version control, override governance and ERP integration.
Explainable AI Moves Up the Agenda for Forecasting and Inventory Decisions
INFORM argues that AI recommendations affecting supplier priorities, forecasts and inventory adjustments can create material consequences when outputs are erroneous or misunderstood.
Explainability should be designed around the decision: which inputs changed, which constraints were active, and whether the planner can safely override the recommendation.
Sourceability warns of longer semiconductor lead times and price pressure
Slimstock expands inventory optimization with Mees van den Brink
Mees van den Brink selected Slimstock to improve forecasting and inventory processes internationally. The signal reflects continued mid-market demand for dedicated planning platforms beyond spreadsheets and basic ERP functionality.
The value depends on whether service levels, supplier constraints, safety stock and replenishment parameters receive explicit owners during implementation.
DriveNets raises $410 million to scale networking infrastructure for large AI deployments
DriveNets raises $410 million to scale networking infrastructure for large AI deployments
Slimstock customer Freedom of Movement uses AI-powered planning for retail growth
Slimstock highlighted how Freedom of Movement uses AI-powered planning to support retail growth. The item is relevant because it connects planning technology to practical retail outcomes: stock availability, inventory productivity and replenishment decisions.
For Inventory Planning teams, the signal is that mid-market and retail companies are using AI-supported planning to improve everyday operational decisions, not only strategic forecasting. The governance focus should be planner trust, exception logic and measurable service-cost impact.
This is a practical Supply Chain AI signal because it shows AI planning value in routine retail replenishment and inventory decisions. Slimstock’s relevance is strongest when recommendations are explainable and tied to service, stock and working-capital outcomes.
Wipak selects RELEX for connected demand, inventory and production planning
Wipak has selected RELEX to connect demand, inventory and production planning. The manufacturing group will use machine-learning forecasting and shared planning processes to improve end-to-end visibility and coordination.
Connected planning needs aligned product, capacity and inventory definitions, with clear ownership of production trade-offs and forecast overrides.
FourKites enhances Inventory Twin to connect S&OP planning with execution
FourKites has enhanced Inventory Twin to connect S&OP decisions with real operational inventory conditions. The update is designed to help teams identify gaps between planned inventory positions and execution reality across the network.
GEPP replaces legacy planning with an AI-driven RELEX platform
GEPP has selected RELEX to replace legacy and manual planning processes with a connected, AI-driven platform. The program aims to unify planning across the network and improve visibility, forecasting and inventory decisions.
RELEX report: AI moves into core supply chain decisions as volatility persists
RELEX Solutions published research on how AI is moving into core supply chain planning decisions as volatility continues. The signal is particularly relevant for retail, grocery and consumer goods organizations where forecasting, replenishment, pricing and waste reduction are directly connected.
For Retail Planning, the relevant shift is from AI as analytics support to AI as decision support for availability, margin, replenishment and inventory placement. That makes AI Governance important as decisions become more granular and frequent.
RELEX’s research is a useful market signal because retail planning is one of the clearest operational test beds for Supply Chain AI. The challenge is not only prediction quality, but safe autonomy in replenishment, pricing and inventory decisions.
ToolsGroup combines demand planning and pricing for inventory-aware demand shaping
ToolsGroup integrated SO99+ with PriceAI to create an inventory-aware demand-shaping solution that connects forecasting, stock positions, pricing and promotional decisions.
Demand shaping requires shared ownership across planning, pricing and commercial teams, with clear guardrails when margin, service and inventory objectives conflict.
SKU Science Showcases Forecasting and Inventory Features at Global Industrie 2025
SKU Science participated in Global Industrie 2025 in Lyon, presenting demand-forecasting and inventory-management capabilities and previewing product developments.
Event participation is a market signal for lightweight planning tools aimed at industrial users seeking faster deployment than large-suite projects.
Netstock launches AI Pack for SMB supply chain visibility and inventory decisions
Netstock launched AI Pack to improve supply chain visibility and decision-making for small and mid-sized businesses. The announcement highlights capabilities such as Predictor Inventory Advisor and AI-supported planning guidance.
This matters because SMB and mid-market supply chain teams often need practical AI support for Inventory Planning, demand planning, replenishment and exception prioritization before they need a heavy enterprise APS. Netstock’s positioning is therefore relevant to accessible AI adoption in planning.
More details are available in the Netstock announcement.
This is relevant because accessible AI Planning tools can improve daily replenishment and inventory decisions in companies that are not ready for large planning transformation programs. The governance focus should remain planner review, recommendation traceability and master data quality.
Autone raises $17 million to scale AI-powered retail inventory planning
Autone raised $17 million to expand its AI-powered retail inventory planning platform. The round included investors such as General Catalyst, Speedinvest, Y Combinator, Seedcamp, Motier and Financière Saint James.
The announcement is relevant for Retail Planning because fashion and lifestyle brands need faster decisions on buying, allocation, replenishment and stock rebalancing. Public coverage and company materials connect Autone to brands such as Roberto Cavalli, Courrèges and Benoa.
More details are available in the Startups Magazine report.
This is relevant because Inventory Planning is one of the clearest near-term use cases for AI in retail. Autone’s funding shows continued momentum around tools that help planners translate demand and stock signals into governed actions.
Insights (8)
Canada’s manufacturing expansion is partly inventory-driven
July PMI data shows production growth alongside worsening delivery times, stockpiling and rising input costs.
Read more →Forecast vs. actual: why protocol design breaks clinical supply plans
Read more →DTC inventory planning is becoming cash-flow governance by SKU class
Beauty, home-goods and pet brands expose the same planning problem: inventory policies must reflect shelf life, lead time, velocity and cash—not one portfolio-wide target.
Read more →Mid-market planning vendors are converging on the same AI narrative—but not the same architecture
AI forecasting, automated replenishment and agentic assistance now sound similar across vendors, while implementation and ownership models remain materially different.
Read more →Category planning is policy governance—not spreadsheet maintenance
Category planners increasingly manage inventory, forecast and service policies that shape commercial outcomes.
Read more →The inventory-planning platform is not the operating model
Technology can replace spreadsheets without replacing weak ownership, hidden parameters or fragmented decision rights.
Read more →