CPG Analytics
Maximize marketing ROI and enable resilient supply chain with advanced CPG analyticsHome / Who we serve / Industry - Consumer Goods
Powering CPG companies to win in a rapidly changing environment with data engineering and AI/ML solutions
To address the changing customer dynamics and get complete visibility into their supply chain, Sigmoid helps CPG enterprises put their data to good use, better align to consumer needs and drive sales. Our data engineering services and AI consulting enable F500 CPG customers to define analytics strategy, automate and integrate data from multiple sources while improving data quality, and modernize their data infrastructure.
Being one of the leading data engineering and AI service providers with vast CPG industry experience, we enable enterprises to define analytics strategy, modernize their data infrastructure, and integrate data from multiple sources while improving data quality. Sigmoid enables CPG companies to act upon this data to improve marketing measurement and optimization, enhance demand forecasting accuracy, and save costs through inventory planning and other CPG analytics use cases with data engineering and AI solutions.
CPG analytics offerings to drive exponential value
- Marketing data hub creation for descriptive analytics
- Real-time marketing measurement and optimization
- Web and social media analytics
- Hyper-personalization and recommendation engines
See how we helped our F500 customer with personalized email marketing to achieve deliver a 7% sales uplift.
Read case study- Data hub for retailer performance and sales analytics
- Customer 360-degree view and churn analytics
- Revenue growth management (RGM)
- Assortment mix modeling to maximize sales
Find out how our ML-based assortment intelligence delivered a 3% increase in contribution margin for a F100 F&B firm.
Read case study- Demand sensing and forecasting
- Master production scheduling
- Preventive maintenance
- Central monitoring and diagnosis
Explore how a leading cosmetics company achieved $30 MN+ savings in inventory handling costs with our effective demand forecasting models.
Read case study- Prebuilt connectors to major eCommerce platforms
- Automated processes for data reinstatements and returns
- Sales analytics and forecasting
- SEO and campaign optimization
Discover how our single source of truth enabled real-time campaign optimization at 2x faster time to insights for a leading CPG company.
Read case studyMarketing
- Marketing data hub creation for descriptive analytics
- Real-time marketing measurement and optimization
- Web and social media analytics
- Hyper-personalization and recommendation engines
See how we helped our F500 customer with personalized email marketing to achieve deliver a 7% sales uplift.
Read case studySales
- Data hub for retailer performance and sales analytics
- Customer 360-degree view and churn analytics
- Revenue growth management (RGM)
- Assortment mix modeling to maximize sales
Find out how our ML-based assortment intelligence delivered a 3% increase in contribution margin for a F100 F&B firm.
Read case studySupply Chain
- Demand sensing and forecasting
- Master production scheduling
- Preventive maintenance
- Central monitoring and diagnosis
Explore how a leading cosmetics company achieved $30 MN+ savings in inventory handling costs with our effective demand forecasting models.
Read case studyeCommerce
- Prebuilt connectors to major eCommerce platforms
- Automated processes for data reinstatements and returns
- Sales analytics and forecasting
- SEO and campaign optimization
Discover how our single source of truth enabled real-time campaign optimization at 2x faster time to insights for a leading CPG company.
Read case studyUnderstand consumers better with Revenue Growth Management, optimize your trade spend, determine the right product mix for different customer segments and refine your existing strategies.
Reckitt's cloud optimization journey with Sigmoid
“Sigmoid has been a vital part of our success story. They are highly skilled and knowledgeable in managing data in multi-cloud environments and with their expertise we have been able to achieve cloud cost visibility at an appropriate level across our cloud infrastructure.”
Aritro Ghosh
IT&D Senior Data Engineering Manager, Reckitt
Multi-Touch Attribution
Empower CPG marketers with accurate, actionable, and intelligent insights.
- In-flight campaign optimization
- Impact of different touch points on sales
- In depth campaign analysis in real-time
Sigmoid’s Data Connectors for CPG
Collect, analyze and make informed decisions with high-quality data. Sigmoid’s data connectors provide an easy way to combine data from retailers, distributors, e-commerce channels and other sources into one integrated space and generate CPG data insights to make informed data-driven decisions.
Customer success stories
90% improvement in the pricing and promotions ML model runtime for a top hygiene company
- Reduction in model run time from 8 days to just 14 hours
- 87% reduction in cost per run
- Easy and scalable migration of ML models across geographies
ML-based assortment lifecycle intelligence improved product profitability and market share for a Fortune 100 CPG firm
- 3% improvement in contribution margin
- 0.8% improvement in market share growth
- 60% reduction in data harmonization efforts
Centralized data lake with automated data ingestion from 30+ sources to enable faster marketing analytics for a major F&B brand
- 50% faster data collection and enrichment
- 2.5x faster time to insights for marketing team
- Automatically ingested data from 30+ sources
Transform data challenges with our data engineering services
Data Pipelines
Integrate siloed data sources and get access to insights faster. Modernize your data infrastructure with high performance LCNC data pipelines.
ML Engineering
Maximize ROI with faster deployment of ML models into production to lower the cost of model development, training and maintenance in an efficient manner.
Cloud Transformation
Process and analyze large volumes of data with end-to-end cloud data management services. Seamlessly migrate data and analytics workloads to hybrid, multi-cloud environments.
DataOps
Automate data pipelines, reduce downtime, lower operational costs, and ensure reliable delivery of high-quality data to the people who need it most.