Sales & Operations Planning (Fortune 100 Technology Company)
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This document presents a case study on sales and operations planning for a Fortune 100 technology company facing challenges with supply chain health visibility across its large inventory and multiple regions. It details the implementation of a single-source data system using Teradata to provide real-time metrics and dashboards, improving lead-time performance and enabling proactive issue resolution. The focus on high granularity and accurate reconciliation of plans with actual performance has led to enhanced supply chain management and community adoption.
Sales & Operations Planning (Fortune 100 Technology Company)
- 1. A Case Study in Sales & Operations Planning A Fortune 100 Technology Company Quick Context Objective a. ~40,000 SKUs, 4 Regions, ~70 BUs, 3 Distribution Channels b. No single view of Supply Chain health in the organization which leads to low Lead-time Attainments • Ability for senior management to monitor Supply Chain health real- time • Single view to proactively identify issues for timely resolution Impact • S&OP at BRIDGEi2i spans two of our major solution areas where deep specialization has been developed over the years – Sales and SC • Domain clarity allows us to synthesize the right S&OP metrics Key Success Elements Our Approach 6 Months 3 Years Client Project length Length of relationship with client • Teradata is the single source of information for all Supply Chain related data • Simple, fast queries written directly to Production server to fetch real-time Bookings, Shipments and Builds at a product x Region level • Plan data is refreshed every month. A method to reconcile plan changes with supply chain performance is necessary • Plans and Actuals are readily available from Source – so no Algorithm was necessary • Adjustments to plans every month must be accurately reconciled with Actual performance to avoid giving a false sense of Supply Chain KPIs • Several accuracy filters were developed for this purpose • High-granularity, real-time dashboard is automated completely in SAP BO using Xelcius as the reporting platform • Queries must be fast, so all metrics were written as derived variables for calculations to be performed at real- time in-dashboard • Low latency in dashboard – high adoption in the Client SC community Data Management Algorithmic Play Operationalization a. To leverage a Teradata environment to pull Bookings, Builds and Shipment information onto 1 platform b. To correlate supply chain health with KPIs, Inventory and Backlog – REAL-TIME