Transforming FMCG Operations with Lean Methodologies and BI Integration
Efficiency seemed to have peaked, and they struggled to justify the expense of new hires
An FMCG client faced overwhelming workloads within their R&D department and believed hiring two additional staff members was the only solution. However, budget constraints made this option difficult to justify. They needed a way to optimise existing resources without sacrificing performance.
We audited processes, eliminated inefficiencies, and restructured workflows using Lean methodologies and BI integration
We began with a comprehensive analysis of their SOPs, IT systems, and workflows, producing a detailed process map. By speaking with team members, we identified inefficiencies such as duplicated spreadsheets, misplaced files, and staff spending significant time on low-value tasks. Using Lean Methodologies and the Theory of Constraints, we discovered key bottlenecks, including the regulatory team being burdened with tasks outside their core expertise.
Next, we re-designed their process to follow a cyclical Kaizen model, enabling iterative, automated improvements. This ensured processes could adapt and evolve continuously. Finally, we proposed integrating the R&D process into a BI system, linking it with financial data to provide leadership with detailed, automated reports on project costs and other critical metrics.
Company A avoided hiring costs, optimised operations, and gained real-time insights for smarter decisions
•Optimised Workflows: Freed staff from time-consuming, low-value tasks.
•Eliminated Bottlenecks: Regulatory team focused on core responsibilities.
•Cost Avoidance: Avoided the need to hire two additional staff.
•Enhanced Reporting: Leadership gained real-time insights into R&D costs and performance metrics.
This transformation empowered the client to operate more efficiently, reduce costs, and make data-driven decisions with confidence.
Explore the quantifiable results achieved, from reduced costs to optimised workflows and empowered teams
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