Customer success story

Improving forecast accuracy through collaborative planning at Natra

Natra replaced Excel-based forecasting with Anaplan's collaborative platform, creating an 18-month demand plan across the entire company.

Historical cleansing

Cleaned product history with continuous SKU and composition changes

Statistical modeling

Automated forecast calculations based on cleaned historical data

Cross-functional collaboration

Engaged commercial teams in monthly forecast review process

Workflow integration

Created approval workflows from demand planners to chief commercial officer

The challenge

Natra, a 78-year-old Spanish chocolate and cocoa derivatives company with operations in more than 90 countries, faced significant challenges with their demand planning process. With over €410 million in turnover and more than 1,000 employees across six plants, the company struggled with several critical issues. Daniel Molina from Natra explained:

"The track of the historical information was quite complicated. It's a company where the artworks of the products, the claims of the products, and small changes in compositions happen quite often and many times are required by the customers, and therefore the SKUs are continuously changing."

Key challenges included:

  • Difficulty tracking historical information due to frequent product changes
  • Unable to clean sales data from abnormal demand, promos, peaks, and out-of-stocks
  • No official forecasting tool - only an Excel file with add-ins called "the demand tool"
  • Poor forecast accuracy with limited commercial team involvement
  • Lack of visibility to management on future demand and potential gaps

The solution

In early 2021, Natra set a goal to have a constrained demand plan for the next 18 months for the whole company, based on statistical models using cleaned historical data and enhanced by market intelligence from the commercial team and customers.

Working with Keyrus, they implemented an Anaplan-based solution in phases:

Phase 1 (February-May 2021): Built dashboards for demand planners to create draft proposals using statistical models and historical data cleansing.

Phase 2 (May-December 2021): Integrated the commercial team into the process, creating workflows from demand planners through to chief commercial officer approval.

The solution included:

  • Historical data cleansing: Ability to understand and clean product history despite continuous SKU changes
  • Statistical forecasting: Automated calculations using algorithms with best-fit selection
  • Cross-functional adjustments: Demand planners can make expert adjustments and include new product listings, renovations, and phase-outs
  • Collaborative workflow: Monthly pre-demand review meetings between planners and account managers, followed by regional demand review meetings
  • Management visibility: Aggregated forecast discussions involving demand planning manager, supply chain director, regional directors, and chief commercial officer

The results

The implementation transformed Natra's demand planning process from a fragmented Excel-based approach to a company-wide collaborative system.

Process transformation:

  • Created the first strong forecast process across the entire company
  • Everyone now uses "one set of numbers" from the tool
  • All departments (commercial, finance, plants) use the same forecast data
  • Enabled better inventory management at plants
  • Improved visibility for tactical and strategic decision-making

Forecast accuracy improvements:

  • Achieved differences of 20+ points improvement in forecast accuracy in many customer cases
  • Better forecast accuracy directly improved customer service levels
  • Enhanced ability to serve customers on time, increasing customer satisfaction

Enhanced collaboration:

  • Successfully engaged the commercial team in the monthly process
  • Forecast accuracy became part of commercial team objectives for bonus achievement
  • Established regular review meetings at multiple organizational levels

Future capabilities being developed:

  • Risk and opportunity scenarios to include opportunities and pipeline risks
  • Current month estimation integration for full-year visibility
  • User satisfaction surveys and statistical model analysis
  • Interfaces with other tools for automation of listings and processes

During the current challenging market conditions with raw material price increases and transport issues, the system has proven valuable:

"We managed to incorporate POS into the tool having more visibility in advance... we are able to manage due to anticipation and advanced visibility within the tool."

The collaborative approach has also enabled interesting conversations with customers, where Natra's internal forecasts sometimes outperform customer-provided forecasts, leading to improved joint planning discussions.

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