Client Background and Business Context
The customer helps organizations monitor, anticipate, and accelerate workflows with their wide-ranging portfolio that spans from software to innovations in robotics, machine vision, automation, and digital decisions, all backed by a +50-year legacy in scanning, track-and-trace, and mobile computing solutions.Â
The customer needed to address several strategic challenges across its hardware divisions. They required a more intelligent and scalable way to tune forecasts for multiple product categories, including printers, supplies, and aftermarket hardware. Simplifying demand management and enabling more refined demand segmentation became essential to support their expanding portfolio.
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Additionally, the organization sought to create a unified product hierarchy for selected hardware offerings, allowing for better structure and visibility. Managing non-key customer segments while preserving essential customer information was a priority, along with streamlining both customer and product hierarchies to enable improved performance. They also aimed to enhance the user interface experience to ensure more efficient and intuitive processes for planners.
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Trinamix partnered with the customer to significantly enhance forecasting and operational efficiency across the Hardware Division. Through advanced forecasting techniques, the team achieved substantial accuracy improvements—47% for aftermarket products, 45% for printers, and 32% for supplies.
Client Industry
- High Tech
Oracle Modules Implemented
- Oracle Demand Management Cloud - Segmentation and Forecast Tuning
Project Location
- North America
Key Solution Highlights
Ability to shape demand with customized causal factors: tailored settings for local trends, seasonality, split constants, and NRB.
Ability to refine engine models and parameters for maximum precision.
Ability to focus on quarterly volumes, leveraging customer insights.
Segmentation approach of data by demand behaviour for tailored configurations and enhanced demand insights.
Ability to analyse bias and MAPE by business unit, identifying areas where performance does not meet expectations.
Capability to evaluate bad forecasts and determine methods to resolve issues.
Iterative process to evaluate configuration, reduce bias, and improve MAPE.
Created a new model for demand segmentation.
Key Benefits
Improved forecast accuracy across multiple product lines for Hardware Division:
-- Aftermarket: 47% improvement
-- Printers: 45% improvement
-- Supplies: 32% improvement
Improvement in planner’s work process efficiency by simplifying demand data management granularity.
Performance improvement through streamlined customer and product hierarchies.
