Guide

AI-Driven IBP: Improving Decision Quality in Practice (with Gigaset)

Decision quality is the differentiator in Integrated Business Planning. AI and visibility are table stakes.

Gigaset shows how Board connects sales, supply chain, and finance in one continuous planning model, so teams can make faster, finance-grade trade-offs when constraints hit.

From SAP APO to continuous planning, Gigaset’s IBP story:

90%+ reduction in IT costs for reporting and planning after retiring SAP BW, SAP APO DP, and SAP BI IP
Standardized planning and reporting across sales, supply chain, and finance
Business users enhance the model independently, quickly, and flexibly

Gigaset replaced a complex SAP-based planning and reporting landscape with Board to simplify and standardize planning across the business. With one shared model, sales plans flow into supply chain execution and financial forecasting, so trade-offs are resolved earlier and decisions move faster. When microchip availability became a constraint, Gigaset could pivot from a sales view to a materials view, test feasible production, and align plans to supply bottlenecks.

Board IBP + AI in one line

What this unlocks:

Demand, supply, and finance work on the same logic before executive review.

Scenario-driven planning aligns production to material availability when supply shocks occur.

Teams extend planning and reporting independently, reducing IT dependency and cost.

From legacy to one planning model

Replace fragmented planning with one continuous model that aligns teams before exec review.

– How they simplified a SAP-heavy landscape into one planning environment

– Why “one model” removed rework and reconciliation

– What they delivered first to prove value fast

Best for: CSCO, VP Planning, CIO

See Board AI IBP

Supply chain + finance trade-offs in one cycle

Align profitability, service, and working capital trade-offs inside the planning process.

– How linking operational + financial planning improved trade-off decisions

– What “real-time alignment” looks like between controllers and planners

– How a shared planning language changed behaviors

Best for: CFO, Finance, CSCO

See finance-aligned decisions

Scale adoption across functions

Make planning usable enough that the business owns it, then expand scope fast.

– How they scaled from demand planning into procurement, logistics, controlling, finance

– Why the single-entry start screen was a usage accelerator

– What it means to run multiple applications and data models on one platform

Best for: CIO, Transformation lead, Planning leaders

See how adoption scaled

AI inside the planning model

Use AI where it improves decisions: scenarios, exceptions, predictive insights.

– Unified data and processes enable AI-driven planning

– How continuous improvement builds resilience over time

– Predictive risk and demand signals

Best for: CSCO, CIO, VP Analytics

See AI embedded in planning logic

What Gigaset shows is simple: better planning is better decision-making

AI and visibility are table stakes. The advantage comes when IBP runs on one continuous planning model and AI improves decisions inside that model. Gigaset connected sales, supply chain, and finance, scaled adoption across functions, and built the foundation to plan through constraints with faster, finance-aligned trade-offs. Explore the Full Gigaset Case Study

Explore Board IBP + AI walkthrough