Diesel engine manufacturer enhances forecast accuracy and reduces TCO by leveraging Birlasoft’s P2P2C

Highlights
  • Industry

    Diesel engine manufacturing and related products

  • Revenue

    $18 billion+

  • Employees

    44000+

  • Solution Footprint

    Predict to Plan to Consensus

Customer Overview

Our customer is the market-leading designer and manufacturer of turbochargers for the medium-heavy duty diesel engines market. With technical, sales and manufacturing facilities located in UK, USA, India, China and Brazil, our customer ensures support for engine and vehicle makers across the world.

Business Challenges
  • Need for a global demand planning process across UK, USA, China & India
  • Operational inefficiencies hinder strategic analysis of changing markets
  • Existing disparate excel-based forecasting limits supply chain visibility and predictability
  • Drive automated role-based consensus process involving key stakeholders
  • Develop a financial forecast that aligns with company's growth strategy
  • Identify financial impact of 'Value Project Introduction' parts
  • Data Management & Product Segmentation
  • Identify and micro manage runners Manage Data proliferation
Birlasoft Solution

Birlasoft implemented its Predict-to-Plan-to-Consensus (P2P2C) solution and helped the customer to convert their requirements into realistic IT solutions and reduce the Total Cost of Ownership (TCO) by leveraging its plug-n-play modules and templates.

Benefits
  • Enabled forecast accuracy improvement of 60-70% over traditional excel based forecasting
  • Ensured high end-user adoption and improved user productivity by using Oracle User Productivity Kit (UPK)
  • Helped develop a feasible IT roadmap with a clear emphasis on Proactive risk identification & management
  • Enabled faster discovery & requirement gathering phase with 35% time reduction
  • Role-based business specific worksheets leading to superior analysis and improved decision making
  • Event-based approval processes to ensure periodic consensus review of planner's forecast
  • Improved data management and data disaggregation in worksheets through innovative solutions like 80:20 & Active/Inactive