Industries - Consumer Packaged Goods

Transforming CPG with Data and AI Strategy 

SENEN partners with consumer goods enterprises to modernize systems, optimize supply chains, and deliver personalized customer experiences at scale. 

The trusted Data & AI partner for the world’s leading enterprises and innovators.

Industries: Consumer Packaged Goods

Explore how we help industry giants, visionary governments, and fast-scaling disruptors unlock real value from their data.

We partner with Fortune 500 companies and global industry leaders to turn data and AI into strategic levers for growth. From analytics infrastructure to cultural transformation, our work spans sectors, driving smarter decisions, sharper execution, and lasting impact across every level of the enterprise.

Data & AI in
CPG

The current state of Big Data and AI in the CPG Industry

89%

CPG leaders using AI in Operations

58%

CPG leaders say AI improves operational efficiency

3x

More likely to trust data accuracy with centralized data systems

10M

Saved in cost avoidance from proper data optimization

What’s Holding CPG Back 

High growth potential, limited by outdated infrastructure and fragmented insights. 

Consumer goods enterprises face immense pressure to deliver innovation faster, strengthen customer relationships, and operate with agility across global markets. Yet, despite heavy investment, most transformation efforts struggle to scale beyond pilot programs.
Legacy ERP and distributor systems slow decision-making, while critical data remains trapped across retailers, suppliers, and regional teams. Leadership lacks a unified view of consumers, demand signals, and supply chain performance making every planning cycle reactive rather than predictive.
AI initiatives often fail to take root because data infrastructure, governance, and cultural readiness is fragmented. Teams work in silos, insights stay locked in reports, and strategy rarely connects cleanly to execution.
The result: stalled progress, inconsistent performance, and missed opportunities for true consumer intelligence.

The SENEN Approach to CPG Transformation 

CPG transformation falters when strategy is abstract, data lives in silos, and teams rely on manual processes. SENEN’s framework closes those gaps. We help leaders set direction, build a secure and unified data foundation, and automate high-value workflows so innovation scales across brands, markets, and channels. 

Our model Strategize, Operationalize, Revolutionize aligns business priorities with systems and people, ensuring transformation delivers across projects, portfolios, and regions. 

From predictive planning to decision intelligence, SENEN’s model ensures technology adoption aligns with business priorities and operational realities.

SENEN CPG Approach Framework

Strategize

Set a clear direction that links growth goals to data and AI opportunities. We prioritize the use cases that matter, define governance, and align stakeholders around a realistic plan. 

Focus Areas

  • Enterprise Data and AI strategy
  • Use case portfolio management
  • Data governance and compliance advisory
  • Operating model and change strategy
  • KPI definition and benefit tracking 
SENEN CPG Approach Framework

Operationalize

Turn strategy into a secure, unified data engine and reliable delivery motion. We pull the data, combine it, and make it trustworthy and accessible across the enterprise. Then we put MLOps and analytics workflows in place so models and insights run at scale. 

Focus Areas

  • Data platform modernization and warehousing
  • Master data management and identity resolution
  • Customer Data Platform integration
  • Data quality, catalog, lineage, and access controls
  • MLOps and analytics engineering at scale 
SENEN CPG Approach Framework

Revolutionize

Move from manual to automated and from localized pilots to enterprise impact. We redesign key processes, embed AI into day-to-day decisions, and raise capability across the organization in a secure and responsible way. 

Focus Areas

  • Demand forecasting, inventory and allocation optimization
  • Trade promotion and retail media effectiveness
  • Personalization and loyalty engines
  • Supply chain visibility and scenario modeling
  • ESG and sustainability intelligence with auditable reporting
  • Enablement programs, CoE design, and adoption management 

Strategic Solutions for CPG

Consumer Data Platforms and Personalization 
Unify consumer, retailer, and channel data into a single view. Enable real-time personalization, loyalty growth, and cross-channel engagement through AI-driven insights and activation.
Demand Forecasting & Inventory Optimization
Apply predictive and prescriptive analytics to balance inventory, reduce stockouts, and align production with true consumer demand.
Trade Promotion & Retail Media Effectiveness
Use AI to optimize promotional spend, measure campaign ROI, and synchronize trade promotions with market behavior and digital media performance.

Supply Chain Visibility & Optimization

Integrate supply, logistics, and production data to enhance planning accuracy, reduce waste, and strengthen resilience across suppliers and distributors.
Product Innovation & Lifecycle Intelligence
Use consumer insights, market signals, and AI-driven simulations to shorten innovation cycles, reduce failed launches, and accelerate time-to-market.
MLOps & Enterprise AI Deployment
Operationalize AI across marketing, supply chain, and finance with scalable MLOps frameworks that ensure model accuracy, governance, and continuous learning.
Data Platform Modernization & Integration
Consolidate fragmented systems into a governed, cloud-native data foundation — enabling seamless data flow across ERP, CRM, e-commerce, and retail channels.
Operational Intelligence & Performance Analytics
Deliver enterprise-wide visibility through advanced dashboards and predictive KPIs, connecting leadership strategy with operational execution.

Platform-Agnostic,
Across the board

Technology should enable strategy, not constrain it. SENEN’s platform-agnostic model allows full flexibility across your tech stack.

Explore More by Sector

We help retailers modernize supply chains, unify customer data, and deploy AI across forecasting, personalization, and operations. Enabling smarter merchandising, improved margins, and stronger customer loyalty.

CPG

We partner with CPG enterprises to connect data across production, distribution, and consumer channels. Our solutions in demand forecasting, personalization, and ESG reporting drive efficiency, resilience, and market growth at scale.

We help construction enterprises integrate legacy systems, connect site data, and deploy AI for predictive scheduling, cost control, safety analytics, and ESG compliance. Turning project complexity into strategic advantage.
We partner with energy leaders to modernize infrastructure, integrate operational and environmental data, and operationalize AI for grid reliability, predictive maintenance, ESG reporting, and workforce enablement.
We work with industrial manufacturers to embed data and AI into production, quality, and supply chain operations. Improving output, reducing downtime, and enabling smart factory systems that scale.
AI integration for ambitious scale-ups, Policy leaders and sectors looking to operationalize efficiency, speed up decisions, and maintain culture.


FAQs

Agentic AI automates CPG workflows & related decision-making. Supply chain orchestration, demand forecasting & management, dynamic pricing and product lifecycle management are some of the more common use cases of agentic ai application in retail.
Data governance leads to data excellence, a factor critical in all data-related decision-making & activations. While data excellence is crucial for sustainable product innovation, core data governance is also important for compliance with regulations around sensitive customer, partner & employee data.
There are a multitude of areas where CPG companies are adopting generative AI. Idea generation & rapid prototyping for product innovation, content creation, knowledge assistance for employees and instant customer service are some of the commonly applied use cases.

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