Unlocking the Power of Salesforce Manufacturing Cloud for Smarter Forecasting and Sales
$71 Million in Cost Reduction
30–60% improvement in automation and forecast accuracy
Overview
A global manufacturer of electrical and fiber optic interconnectivity solutions, faced several challenges: an aging, unsupported ERP, manual processes and sales forecasting cycles, disconnected systems, and data siloes. rSTAR helped them integrate their system, reduce technical debt, and migrate to Salesforce Manufacturing Cloud to automate forecasting and multiple processes.
Business Problem & Stakes
Existing forecasting platforms, such as SAP APO, proved inefficient and were disconnected from Salesforce. With SAP APO support ending in 2027, these limitations created significant forecasting challenges for the client.
Critical customer and planning data were scattered across multiple systems, preventing a unified view. This fragmentation made it difficult to coordinate interactions and optimize planning functions.
The organization struggled with low adoption rates for Service Cloud, which negatively impacted customer service operations. This hindered the efficiency and responsiveness of their support teams.
Customized, outdated legacy systems resulted in substantial technical debt for the company. This complexity made modernization and system upgrades both challenging and resource-intensive.
rSTAR Solution
Implementation of Salesforce Manufacturing Cloud
Unified Data Integration
Data from multiple disparate systems was consolidated into Manufacturing Cloud, creating a single source of truth for customer interactions and planning. This integration provided a comprehensive, unified view that improved coordination and decision-making.
Enhanced Service Cloud Adoption
Schedule Agreement integration and improved dashboards were developed to boost Service Cloud adoption rates. As a result, customer service representatives and planners experienced increased efficiency and effectiveness in support operations.
Modernized Operations and Advanced Forecasting
Technologies Involved
Salesforce Manufacturing Cloud
SAP
MuleSoft
Einstein GPT & DPE
The Results
Cost savings were derived from a combination of overnight freight and inventory reductions and are estimated to be achieved over five years after implementation. Investment of $2M for Phase 1 and estimated $2M for Phase 2 with a total cost of $4M is projected to result in $71 million cost reduction over a five-year period.
Salesforce Manufacturing Cloud improved automation and forecast accuracy by 30–60% and digitized all sales and contract processes. This led to a unified customer experience and a scalable system ready for advanced SAP integration.
The solution enabled an integrated customer experience across customer service representatives, planners, and customers. The architecture is highly scalable and prepared for the future integration of rebate management, billing, and SAP S/4HANA.
Why Enterprise Leaders Choose rSTAR
rSTAR transforms asset-intensive companies into digital leaders. Our 20+ years of expertise in data, AI, and IT modernization, paired with top-tier partners like Oracle, Microsoft, Salesforce, and Google, provides tailored solutions that solve complex business problems and drive innovation. We are your trusted advisor.
IT Program Manager
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