Product Lifecycle Management

Sigmoid’s Product Lifecycle Management (PLM) solution enables CPG, retail, and consumer healthcare companies to make agile, data-driven decisions across their product portfolios.

Key Features:

1. Lifecycle Stage Classification: Automatically identifies each SKU’s stage — Launch, Growth, Stable, or Decline — using time-series sell-out data and product attributes.
2. Predictive Modeling: Forecasts the success of new product launches within the first few months based on early sales, pricing, and promotional data.
3. Portfolio Optimization: Tracks and visualizes SKU performance across segments, brands, and geographies to inform rationalization and investment strategies.
4. Competitive Benchmarking: Compares product lifecycle distribution against competitors to uncover white spaces and performance gaps.
5. Promotional Intelligence: Recommends budget allocation based on product stage and growth potential to maximize ROI.

Business Benefits:

1. Accelerate SKU-level decisions on scaling, retiring, or enriching products.
2. Improve go-to-market speed and innovation effectiveness.
3. Align marketing and supply chain planning with real-time consumer and sales signals.
4. Drive category growth and portfolio profitability through smarter resource allocation.

AWS Services Used:

1. Amazon S3 – for scalable storage of product and sales data.
2. AWS Glue – for data ingestion, transformation, and cataloging.
3. Amazon EMR – for large-scale processing of historical time-series data.
4. Amazon SageMaker – for lifecycle stage classification and predictive modeling.
5. Amazon Redshift – for analytics and dashboarding across product portfolios.