Strategic Revenue Management Cpg

CPG

Strategic Revenue Management Framework

The Challenge A leading food sector Consumer Packaged Goods (CPG) giant grappled with understanding the key drivers behind its sales performance, hindering effective revenue management. They lacked reliable data to make informed decisions about trade promotions, including optimal expenditure allocation, effective strategies, and profitable investments. Mu Sigma’s Approach Leveraging proprietary tools muUniverse and muPDNA (Problem Strategic Revenue Management Framework

Planning Transformation

Retail

A Financial Planning Transformation

Cumbersome Financial Planning The client revamped its financial planning during the recession, focusing on detail and operational precision. However, as their business expanded, this process became cumbersome, inflexible, and too reliant on traditional methods. They envisioned a transformation: shortening their extensive quarter-long financial planning process to a more frequent and flexible monthly cycle. Achieving this A Financial Planning Transformation

Demand Forecasting Case Study Forecasting to Optimize Profitability 2

CPG

Demand Forecasting to Optimize Profitability

As a food manufacturer, strategic pricing is crucial for sustaining demand, whether during promotions or at regular times. Previously, the client relied on third-party vendors for pricing analysis, which proved costly. Recognizing the need for a more cost-effective and scalable solution, the client established an in-house team capable of conducting accurate and scalable pricing analysis. Demand Forecasting to Optimize Profitability

Inventory Management Case Study With Solution

Retail

Optimizing Inventory Management

Mounting Lost Sales Due to flawed demand planning and an outdated inventory system, the retailer grappled with mounting lost sales and spiralling inventory holding costs. Legacy systems operated on assumptions unsuited for specialty retailers with predominantly slow-moving items catering to diverse customer segments. Mu Sigma’s In-depth Analysis Analysis revealed that the inventory inefficiencies stemmed from Optimizing Inventory Management

Enhancing The E-comm Seller Experience

Retail

Enhancing the E-comm Seller Experience

We created a robust framework to define Bad Selling Experiences (BSE) by analyzing historical interactions between buyers and sellers. This framework established a global metric, applicable across diverse organizations, regularly monitored on a weekly basis to assess the impact of new initiatives. In addition, a proactive framework was developed to automatically suspend abusive buyers on Enhancing the E-comm Seller Experience

Transform Banking Experience

Banking

Transforming the Banking Experience

Modern Challenges to Providing Exceptional Customer Experiences With the fintech revolution introducing innovations like mobile apps, peer-to-peer lending, and online portfolio management, traditional banks were challenged to provide exceptional customer experiences, specifically in hyper-convenience, responsiveness, reliability, and personalization. Our client bank aimed to outpace both fintech and traditional competitors and sought to redefine the consumer Transforming the Banking Experience

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Optimizing Reverse Logistics With Analytics

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Ai In Pharma: Advanced Analytics Solutions

Harnessing AI for Pharma R&D

Enhancing The E-comm Seller Experience

Enhancing the E-comm Seller Experience

Demand Forecasting Case Study Forecasting to Optimize Profitability 2

Demand Forecasting to Optimize Profitability

Data Mesh for Enhanced Banking Trust and Agility

Data Mesh for Enhanced Banking Trust and Agility

Behavioral Segmentation To Boost Roi

Behavioral Segmentation to Boost ROI

Planning Transformation

A Financial Planning Transformation


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