Revenue Growth Management

As markets continue to evolve, consumer preferences and shopping behaviors are becoming more diverse and dynamic. In response, Consumer Goods & Services companies recognize the urgent need to transform their strategies, swiftly adapt to emerging opportunities, and find more efficient ways to capture consumer attention, loyalty, and spending power.

Revenue Growth Management (RGM) is centered on understanding and anticipating consumer behavior while optimizing portfolio mix, pricing, and promotional strategies to drive sustainable and profitable revenue growth.

Sigmoid Data Driven RGM Framework:

1. Assortment Intelligence - Assortment optimization is crucial for balancing consumer demand with operational efficiency. Brands must determine the right product mix at the SKU, category, and regional levels to maximize revenue while minimizing inventory costs. Sigmoid’s AI-driven solution helps CPGs optimize store-specific assortments, automate planogram creation, and rationalize SKUs by analyzing factors such as sales velocity, profitability, and consumer preferences. By leveraging a data-driven approach, businesses can improve shelf productivity, reduce stockouts, and enhance category growth.

2. Product Pricing - Strategic pricing decisions directly impact revenue and market positioning. Sigmoid’s solution enables businesses to analyze price elasticity, identify optimal pricing models, and implement intelligent price recommendations based on historical sales patterns, competitive benchmarks, and market trends. This ensures brands can maximize profitability, minimize product cannibalization, and drive volume growth by tailoring prices to different regions, channels, and consumer segments.

3. Trade Terms Management - Optimizing trade investments is key to maintaining strong retailer relationships and ensuring fair trade agreements. Sigmoid’s framework helps CPGs analyze trade terms, assess their effectiveness, and optimize negotiations by leveraging data-driven insights. By evaluating past trade agreements and their impact on sales and profitability, companies can structure better trade deals, improve margin realization, and create win-win scenarios for both brands and retailers.

4. Promotion Management - Promotional activities play a significant role in influencing consumer purchasing behavior and driving incremental sales. Sigmoid’s AI-driven Promotion Management solution evaluates past promotions, measures ROI, and recommends the most effective promotional strategies. It enables brands to optimize discount levels, select the right promotional channels, and predict the impact of future campaigns. By leveraging predictive analytics, companies can reduce wasted promotional spend, enhance shopper engagement, and improve overall promotional effectiveness.

Benefits:

1. Increased Profit Margins: Optimize pricing strategies to maximize revenue and profitability.
2. Improved Promotional ROI: Enhance trade promotions with data-driven insights.
3. Market Competitiveness: Stay ahead with real-time competitive pricing intelligence.
4. Data-Driven Decision Making: Enable sales and marketing teams to make informed strategic choices with AI-powered insights.

The following AWS workloads have been used in developing the above mentioned solution:

1. AWS Glue: Orchestrating data integration pipelines to integrate data from diverse sources.
2. Amazon S3: Serving as the underlying storage layer.
3. AWS Lake Formation: Unified data governance.
4. Amazon SageMaker for Machine Learning
5. Amazon Redshift: Integrating and analyzing large datasets.
6. Amazon QuickSight for Business Intelligence.