Supply Chain Planning
Software – CCH Tagetik

In most organizations, the supply chain plan and the financial plan are built by different teams, in different systems, on different assumptions – and reconciled afterwards, if at all.

Operations plans in units: how much to produce, how much to hold, when to order. Finance plans in currency: revenue, margin, working capital, cash. When demand shifts or a supplier fails, operations replans quickly. Finance finds out at month end, when the variance appears in the numbers and it is too late to influence the decision.

The cost is not the reconciliation work, although that is real. It is that operational decisions get made without visibility into their financial consequences – and financial commitments get made without knowing whether operations can deliver them.

Supply chain planning software closes that gap when it shares a data model with financial planning: a change in demand, supply or production immediately shows its effect on revenue, margin and cash, in the same environment where the plan is built.

Supply chain planning covers five connected processes. What determines whether they work together is not the sophistication of each one, but whether they run on the same data.

Demand planning and forecasting

A consolidated view of demand across facilities, product families and lines of business. AI-based forecasting factors in promotions, advertising, new product introductions, seasonality and competitor actions – and allows rapid pivots when those drivers change. Forecast accuracy matters disproportionately here: production schedules, inventory targets and working capital projections are all built on it.

Supply planning and production planning

Building supply plans that hold up against unanticipated costs, seasonal spikes and unexpected demand – with AI-based capacity planning, product planning, MRP and production scheduling. Production planning draws decision intelligence from SKUs, bills of materials, distribution centres and customer data to improve turnover, protect margins and prevent stock-outs.

Inventory optimization (MEIO)

Multi-Echelon Inventory Optimization (MEIO) balances inventory across the entire distribution network — the right product, in the right place, at the right time, without over- or understocking. Inventory is where operational decisions become working capital decisions, which is why it belongs in the same model as the financial plan.

Sales and operations planning (S&OP)

The recurring process where commercial, operations and finance agree on a single plan. CCH Tagetik synchronises departmental plans, operational activities and supply chain data – surfacing manufacturing bottlenecks and delivery issues while there is still time to act on them. The value depends on cycle time: an S&OP process that takes three weeks to prepare arrives after the decisions have already been made.

Scenario modelling and risk analysis

Modelling alternative futures – a supplier failure, a demand spike, a cost increase, a capacity constraint – and cascading each one through demand, supply and replenishment for end-to-end impact. Sensitivity analysis identifies which risk factors matter most. Because scenarios run against the same model as the base plan, results are directly comparable rather than assembled separately.

AI across the planning cycle

AI runs underneath the planning processes above rather than sitting beside them as a separate feature. Forecasts are generated through probabilistic modelling instead of single-point estimates: each figure carries a replenishment range and a confidence score, so planners see the likely spread of outcomes and how much weight to place on any given number. The AI models account for exceptions, fill gaps where data is incomplete, and track their own accuracy against actual results over time – which makes forecast quality measurable rather than assumed.

This is where CCH Tagetik differs from specialist supply chain platforms.

Platforms like Kinaxis, o9 and Blue Yonder were built to optimise the supply chain itself: network design, constraint solving, execution. They answer operational questions in operational terms. Translating those answers into revenue, margin and cash happens afterwards – in another system, usually by another team.

CCH Tagetik starts from the financial side. It is a planning platform that extends into supply chain operations, which means demand, supply and inventory plans sit in the same data model as budgeting, forecasting and consolidation. A scenario evaluated in operational terms is evaluated in financial terms at the same moment, with no hand-off between them.

The two approaches suit different questions. If the problem is how to optimise a complex distribution network, a specialist platform is the right tool. If the problem is what an operational decision does to the financial plan – and who has to explain that to the board – connected planning is.

The same data model carries budgeting, planning and forecasting and financial close and consolidation – which is why a supply chain scenario in CCH Tagetik produces financial results directly, rather than requiring a translation step in another system.

Supply chain planning implementations are constrained by data before they are constrained by anything else. Historical demand at the right granularity, product master data that is consistent across systems, supply constraints that are documented rather than known informally – these determine the timeline more than the configuration work does.

Inulta – CCH Tagetik Platinum Implementation Partner and Best EPM Implementation Partner 2026 – approaches supply chain planning as an extension of the financial planning architecture rather than a separate project. Our consultants assess data readiness first, establish one planning process reliably, then extend scope.

Learn more about our CCH Tagetik implementation approach →