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Decion

Decion (formerly ToolsGroup) is an always-on supply chain planning platform that senses demand and supply signals continuously, uses probabilistic AI to weigh risk, and steers inventory, pricing, and replenishment automatically inside guardrails a planner sets. It combines demand forecasting, multi-echelon inventory optimization, price optimization, and an AI assistant called Decy.

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Decion screenshot
Decion screenshot

Decion is the current name for ToolsGroup's supply chain planning platform, previously marketed under the SO99+ name; the company's own site now uses Decion throughout and makes no mention of the older name. It's described as an always-on decision intelligence platform: one that continuously senses demand and supply signals, weighs risk using probabilistic AI, and steers inventory, pricing, and replenishment toward service, margin, and growth targets a planner sets as guardrails, rather than producing a static forecast that goes stale between planning cycles.

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The platform is organized into six connected modules. Demand Planning applies probabilistic demand forecasting that models uncertainty across seasonality, promotions, and market shifts, with collaborative planning and demand sensing layered on top. Supply Planning right-sizes inventory across a network using multi-echelon optimization, probabilistic safety stock, replenishment, production planning, and supplier collaboration. PPMO (price, promotion, and markdown optimization) models demand elasticity and competitive positioning to shape pricing and protect margin. Strategic Planning aligns demand, supply, and financial plans through S&OP, S&OE and response planning, integrated business planning, and network design with scenario modeling. Supply Chain Visibility provides a real-time digital twin as a shared source of truth. Retail Planning covers merchandise financial planning, assortment planning, store allocation, and inventory rebalancing for retail-specific use.

An AI assistant called Decy sits inside the platform, surfacing risks, explaining recommendations in plain terms, supporting scenario analysis, and orchestrating actions across planning and execution so a planner doesn't need to interpret a raw model output alone.

Decion reports working with more than 400 customers across 45-plus countries, built on more than 30 years of the company's forecasting work. Published customer results include Aston Martin raising first-time parts availability without adding inventory, Franke managing 1.4 million SKU-market combinations across 42 locations and 17 ERP systems with a two-person planning team, and McDonald's Mesoamerica's distributor cutting expedited shipments by 83% while improving service levels. The company also cites industry-wide ranges across its customer base: 40 to 90% workload reduction, 5 to 10 point forecast-accuracy gains, and 20 to 30% inventory reduction, alongside service levels up to 99%.

Decion is built for demand and supply planning teams at manufacturers, wholesale distributors, and retailers managing complex, multi-location inventory, particularly in aftermarket parts, food and beverage, and retail, rather than for simple, single-location inventory tracking.

  • CategoryForecasting & Predictive Analytics
  • Pricing ModelCustom
  • DeploymentCloud
  • PlatformsWeb

  • Always-on, continuously updating demand and supply sensing

  • Probabilistic AI demand forecasting across seasonality and promotions

  • Multi-echelon inventory optimization with probabilistic safety stock

  • Price, promotion, and markdown optimization (PPMO)

  • Strategic planning tools: S&OP, S&OE, IBP, and network design with scenario modeling

  • Real-time supply chain digital twin for visibility

  • Retail-specific merchandising, assortment, and allocation planning

  • Decy, an AI assistant that explains recommendations and orchestrates actions

  • Agentic execution within planner-set guardrails

  1. Connect your data: Feed demand, supply, and inventory signals into Decion.

  2. Set your guardrails: Define the service, margin, and growth targets the platform should steer toward.

  3. Review Decy's recommendations: Let the AI assistant surface risks and explain suggested actions.

  4. Run scenarios: Use scenario modeling to stress-test pricing, network, or planning decisions.

  5. Let it steer: Approve agentic execution for inventory, pricing, and replenishment actions.

  • Demand forecasting
  • Inventory optimization
  • Price and markdown planning
  • S&OP alignment

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