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Vanguard Predictive Planning

by Wolters Kluwer (CCH Tagetik) · Inventory Optimisation

AI-driven demand, supply, production and S&OP planning suite from CCH Tagetik.

Updated August 2026 · By the ERP Research Editorial Team · Independent and vendor-neutral.

Works with
SAPSAP S/4HANA
Deployment
Cloud, On-premises
Company size
Mid-market, Enterprise
Pricing
Quote-based
Founded
1995
Headquarters
Cary, North Carolina, United States

Overview

Vanguard Predictive Planning was the flagship product of Vanguard Software Corporation, a Cary, North Carolina-based supply chain planning vendor founded in 1995. Wolters Kluwer Tax & Accounting acquired Vanguard Software for approximately $110 million in cash in May 2021 and folded its AI-driven forecasting and integrated business planning technology into the CCH Tagetik financial performance management platform. The product now ships as CCH Tagetik Supply Chain Planning, sold as demand planning, supply planning, production planning and sales & operations planning (S&OP) modules built on the same underlying engine.

The platform uses probabilistic and AI/machine-learning models to generate demand forecasts, then balances those forecasts against supply and production capacity, including multi-echelon inventory optimisation (MEIO) and MRP automation. Because it runs on the CCH Tagetik CPM suite, supply chain plans can be connected directly to financial planning, close and consolidation processes within the same environment, rather than through a separate integration layer. Wolters Kluwer markets it to manufacturing, CPG, automotive, fashion, retail, pharmaceutical, and food and beverage companies, spanning Fortune 500 to mid-market organisations.

A prebuilt, native SAP HANA / S/4HANA connector gives real-time data access and drill-through into SAP source data without a separate ETL process, and the platform also integrates with SAP ECC and SAP BW environments. It can be deployed in the cloud or on-premises.

Screenshots & demo

Demo video from the vendor's YouTube channel.

Features & capabilities

Demand Planning & Forecasting

AI-assisted demand forecasting with promotion and lifecycle factors.

  • Probabilistic demand forecasting
  • AI/machine-learning-based forecast model selection
  • Promotion and seasonality factoring
  • Scenario modelling with confidence scoring
  • Exception handling and data gap-filling
  • New product introduction planning
  • Forecast-vs-actual accuracy tracking

Supply & Inventory Planning

Balancing supply against demand with multi-echelon inventory controls.

  • Multi-Echelon Inventory Optimisation (MEIO)
  • Supply and demand balancing
  • Inventory strategy and safety stock optimisation
  • Exception management
  • Automated purchase orders and stock transfers
  • Capacity-constrained supply planning

Production Planning

Manufacturing capacity and material-requirements planning tied to demand.

  • MRP automation from real-time plans
  • Material requirements calculation
  • Manufacturing capacity optimisation against demand and sales projections
  • Production cost vs sales projection comparison
  • Short, medium and long-term manufacturing scenario modelling
  • Automatic refresh from real-time ERP, BOM and supply chain data

S&OP, Scenario Modelling & Collaboration

Cross-functional workflow linking planning domains into one cycle.

  • Integrated S&OP linking demand, supply, production and financial plans
  • What-if scenario modelling with instant cross-functional impact
  • Sensitivity and risk analysis
  • Role-based access, task assignment and automated approvals
  • Change notifications and analytics sharing
  • Cross-functional collaboration hub

AI & Predictive Intelligence

Embedded AI powering forecasting and recommended actions.

  • Embedded generative and explainable ('Objective') AI
  • Probabilistic modelling for forecasting
  • Continuous machine-learning-based forecast refinement
  • AI-based prescriptive supply chain actions
  • Automated data integration and calculations

Common use cases

  • Building demand plans that factor in promotions and seasonality across SKUs
  • Running multi-echelon inventory optimisation to cut safety stock while protecting service levels
  • Automating MRP and production scheduling from real-time ERP and BOM data
  • Running an integrated S&OP cycle that ties demand, supply, production and financial plans together
  • Modelling what-if scenarios such as supplier disruption or demand shocks and seeing the cascading impact instantly
  • Replacing manual, spreadsheet-based planning processes with a collaborative, workflow-driven platform
  • Feeding SAP S/4HANA or SAP HANA source data directly into supply chain plans via a native connector

Strengths & considerations

Strengths

  • Built on the CCH Tagetik CPM platform, connecting supply chain plans directly to financial planning, close and consolidation within the same suite
  • Embedded generative and 'Objective AI' aimed at explainable forecasts rather than a black-box output
  • Prebuilt, native SAP HANA/S/4HANA connector with real-time data access and drill-through, avoiding a separate ETL layer
  • Multi-Echelon Inventory Optimisation (MEIO) shipped as a core module rather than a bolt-on

ERP integrations

Prebuilt connectorBi-directionalSAP partner

Native SAP HANA connector covering SAP ECC and SAP BW, with real-time data access and drill-through and no separate ETL layer

Prebuilt connectorERP to product

Automatically refreshes demand, supply and financial forecasts with real-time ERP, BOM and supply chain data

Pricing

Model
Quote-based
Starting price
From $48,000
Free trial
No

Wolters Kluwer does not publish pricing on its own site; cost is scoped by modules (demand, supply, production, S&OP), users and implementation. A third-party marketplace listing (Software Advice) shows a starting price of $48,000 with custom quotes for larger deployments. Get an independent shortlist with pricing guidance below.

Technical & security

Hosting
Cloud (SaaS) or on-premises

About the vendor

Founded
1995
Headquarters
Cary, North Carolina, United States
Ownership
Subsidiary of Wolters Kluwer (Euronext Amsterdam: WKL); formerly independent as Vanguard Software Corporation until its acquisition by Wolters Kluwer in May 2021

Alternatives to Vanguard Predictive Planning in Inventory Optimisation

Vanguard Predictive Planning — frequently asked questions

Is Vanguard Predictive Planning still sold as a standalone product?

No. Wolters Kluwer acquired Vanguard Software in May 2021 for about $110 million and folded its predictive-planning technology into the CCH Tagetik platform, where it is now sold as CCH Tagetik Supply Chain Planning.

Does it integrate with SAP?

Yes. CCH Tagetik offers a prebuilt, native SAP HANA/S/4HANA connector that provides real-time data access and drill-through into supply chain plans without a separate ETL layer, and it also covers SAP ECC and SAP BW environments.

What planning functions does the suite cover?

It spans demand planning and forecasting, supply planning, multi-echelon inventory optimisation, production planning with MRP automation, and integrated sales & operations planning (S&OP), all built on AI-based predictive analytics.

How is it priced?

Wolters Kluwer does not publish pricing; it is quote-based and scoped by modules, users and implementation. A third-party marketplace listing (Software Advice) shows a starting price of $48,000.

What industries does it target?

Vendor materials cite manufacturing, consumer packaged goods, automotive, fashion, retail, pharmaceuticals and food and beverage as target industries, serving organisations from mid-market to Fortune 500 scale.

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