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Board in Action: Four Enterprise Planning Transformations with Quantified Results
From 10–15% faster forecasts to 80–90% less demand-planning data preparation, these stories show how Continuous Planning connects finance and operations.
Large enterprises use a unified Enterprise Planning Platform to connect financial and operational plans, replace fragmented spreadsheets, and enable Continuous Planning—an always-on approach that improves forecast accuracy and aligns decisions across the business.
Planning complexity grows quickly in a global enterprise. A forecast may involve hundreds of contributors, dozens of entities, multiple data sources, and decisions that move between finance, sales, merchandising, and supply chain. When each function works in a separate spreadsheet or point solution, assumptions diverge and teams spend valuable time reconciling data instead of acting on it.
That is why organizations such as Toyota Motor Europe, Decathlon, Michelin, Volkswagen, and Carrefour use Board. Board is the Enterprise Planning Platform with AI for confident decisions. It brings financial and operational planning together on one unified platform so teams can continuously update plans, share workflows and scenarios, and act from one trusted view of performance.
Board’s platform natively embeds analytical AI, generative AI, and domain-specific agents inside governed planning workflows. These capabilities extend the planning foundation shown in the customer stories below; they are not being presented as the source of results achieved in implementations that predate them.
The customer examples below show four ways this model works in practice: connected FP&A, faster financial close and consolidation, responsive merchandise planning, and continuous sales and operations planning (S&OP). Each example links to the underlying customer story.
1. Continuous FP&A: linking financial plans to operational drivers
For FP&A, large enterprises use Continuous Planning to coordinate financial and operational forecasts across hundreds of contributors, business units, and markets as conditions change.
At Hapag-Lloyd, Board connects capacity, sales, cost, and financial planning for 400 planners operating across 128 countries. The shipping company replaced a labor-intensive process in which Excel files from around the world had to be collected, checked, and reworked. Its driver-based model now links operational assumptions directly to financial outcomes and creates a common planning process for teams worldwide.
Komatsu Europe: 10–15% faster forecasts and up to 80% less manual preparation
Komatsu Europe shows how a unified platform can extend beyond core FP&A. The organization uses Board for planning, budgeting and forecasting, financial consolidation, European sales planning, reporting, and S&OP-related processes. Its European implementation integrates about 25 business units and 15 data sources; the wider Komatsu organization includes approximately 65,000 employees and 208 entities globally.
The quantified impact is substantial. Forecasting cycles are 10–15% faster. Manual data collection and preparation for consolidation have fallen by up to 80%, removing two to three days of effort from each reporting cycle. Komatsu also reports a 75% reduction in consultancy costs as it has developed more capability in-house.
The lesson for FP&A leaders is straightforward: connecting data and operational drivers in one business-owned environment can accelerate forecasts while giving local teams more ownership of inputs and analysis. Today, the Board FP&A Agent adds governed, explainable insight, scenario support, and narrative generation inside that continuous planning workflow.
2. Financial Close, Consolidation, and Reporting (FCCR): creating one source of truth
For FCCR, enterprises use a unified platform to automate multi-entity reporting, standardize data, and accelerate close-to-disclose while maintaining transparency, governance, and control.
After its carve-out from Sanofi, Zentiva needed to bring planning, management reporting, legal reporting, and IFRS consolidation together across a heterogeneous system landscape. Board now provides a single platform for FP&A, consolidation, close, and reporting, supported by automated SAP interfaces, a central SQL staging layer, and a harmonized chart of accounts.
Zentiva shortened its monthly close by two days. The platform supports 145 users and 70 reporting units across a business operating in more than 30 countries, while enabling more detailed reporting at country and regional level. For finance teams, the value is not only speed: planning and actuals are aligned on the same governed data foundation.
Additional consolidation proof at enterprise scale
The same pattern appears in other complex groups. AMMEGA standardized consolidation, reporting, planning, and lease accounting across 72 legal entities and reports approximately 20% less time spent on data preparation. Louwman Group unified statutory and managerial consolidation across three divisions and more than 200 reporting units; consolidation results that previously took hours can now be produced in minutes.
Together, these examples show why close transformation is increasingly connected to wider performance management: trusted consolidated data can support reporting, forecasting, tax, treasury, and decision-making without rebuilding the same numbers in separate systems. Board’s current Controller Agent adds accounting-aware validation, reconciliation support, and human-in-the-loop control to help teams close with confidence.
3. Unified merchandising planning: balancing availability, inventory, and growth
Retail enterprises use unified merchandising planning to connect MFP, Open-to-Buy, allocation and replenishment, inventory, and margin decisions across stores, channels, and regions.
Luxury fashion brand Golden Goose needed a new distribution model as it expanded from wholesale into a global retail network of more than 200 stores. The company implemented Board for allocation and replenishment, demand and production planning, and advanced forecasting.
The initial implementation moved from analysis to full go-live in seven months. Board now helps Golden Goose define product requirements from planned coverage and stock availability, rebalance inventory across its network, manage peaks and seasonality, and run what-if scenarios for suggested orders. The company reports better responsiveness to demand, more consistent stock availability across channels, and lower exposure to excess inventory and stock-outs.
Takko Fashion: unified merchandise and assortment planning at scale
Takko Fashion adds a broader discount-fashion perspective. One of Europe’s largest fashion discounters, Takko operates nearly 2,000 stores across 17 countries and employs about 18,000 people. As its assortment decisions and data volumes grew, disconnected planning systems made merchandise and assortment planning more time-consuming and harder to control.
With Board, Takko created a single source of truth for merchandise financial planning and assortment planning, helping teams plan budgets, articles, delivery dates, and quantities with greater precision. The company benefits from more automated planning processes, stronger transparency, increased agility, and a reduced workload across the organization—exactly the kind of visibility and control retail planners need when managing large seasonal assortments across multiple markets.
This is the core merchandising transformation: replacing isolated channel decisions with a common view of demand and inventory, then using that view to protect availability, reduce waste, and support profitable growth. Today, the Board Merchandiser Agent works inside this unified planning environment to surface risks, explain root causes, and recommend prioritized next actions while merchandisers remain in control.
4. S&OP: creating a continuous, decision-ready plan
For S&OP, large enterprises use a continuous, decision-ready plan to align demand, supply, and finance—evaluating trade-offs across service, cost, cash, and margin.
KUKA replaced department-level spreadsheets with a rolling S&OP process spanning finance, sales, and supply chain. The robotics and automation company uses Board to generate 12–18-month demand and master plans and to support planning across 30 international sales companies. A common database and structured workflows have increased transparency and turned planning from a collection exercise into a cross-functional process.
Rocky Brands: 80–90% less time preparing demand-planning data
Rocky Brands illustrates the next stage of S&OP: strengthening the demand signal itself. The multi-brand footwear company faced roughly 60,000 SKUs, long overseas lead times, customer concentration, and volatile consumer demand. Monthly, aggregated forecasting could not provide the speed or granularity needed for buying decisions made four to six months ahead.
Using Board for Demand Planning together with Board Foresight & Signals, Rocky Brands moved to continuous, signal-driven planning at customer and SKU level. Data-preparation time fell by 80–90%, from one to two weeks of manual work to near-real-time availability. Planners can reforecast more frequently, validate internal assumptions against external indicators, and make inventory and supply commitments with greater confidence.
The broader implication is that modern S&OP depends on both cross-functional alignment and a decision-ready demand signal. When demand, supply, inventory, and finance use one planning model, teams can evaluate trade-offs earlier and respond while commitments can still be changed. Today, the governed Board Supply Chain Agent continuously monitors signals, accelerates what-if analysis, and guides financially grounded actions while keeping planners in control.
What do these enterprise planning transformations have in common?
Across finance, retail, and supply chain, the strongest results come from the same operating principles: shared data, connected models, structured workflows, and business ownership. The technology matters, but the larger transformation is organizational—teams plan together using consistent assumptions, maintain one version of the plan, and spend more time evaluating scenarios and acting on exceptions.
KUKA: 12–18-month plans across 30 sales companies; Rocky Brands: 80–90% less data preparation
FAQs
Enterprise planning transformation can improve planning speed, reduce manual preparation, and shorten reporting cycles. Komatsu Europe reports 10–15% faster forecasting cycles and up to 80% less manual data preparation for consolidation. Zentiva shortened its monthly close by two days, while Rocky Brands reduced demand-planning data preparation by 80–90%. Results depend on the process, scope, and starting point.
Value comes when related plans share drivers: FP&A and operations; close and consolidation; merchandising and inventory; and S&OP. Hapag-Lloyd connects capacity, sales, cost, and finance for 400 planners, while KUKA aligns finance, sales, and supply chain.
Timelines vary with data readiness, integrations, process scope, and organizational change. As one concrete benchmark, Golden Goose moved from analysis to full go-live in seven months for a solution supporting more than 200 stores. Other organizations may phase delivery by process or business unit, so the most useful comparison is a clearly defined first scope rather than a single universal timeline.
The recurring foundations are shared data, connected models, structured workflows, and business ownership. At scale, teams need consistent assumptions and one governed version of the plan while retaining clear responsibility for inputs and decisions. The examples range from Hapag-Lloyd coordinating 400 planners across 128 countries to Zentiva aligning planning and actuals across 70 reporting units.
Turn connected planning into measurable performance
These examples show that enterprise planning is not simply a system replacement. It is a way to connect people, data, and decisions across the business—and to turn planning speed, data quality, and cross-functional alignment into measurable results.