Industries - Retail

Transforming Retail Through Strategy Led Data and AI 

SENEN helps global retailers align strategy, systems, and people to deliver measurable business value at scale. 

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Why Senen?

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

Industries: Retail

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 Retail

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

89%

Retailers use AI in their operations

57%

Organizations estimate their data is not AI-ready

+39%

Consumers use AI for retail shopping

50%

Supply chain leaders plan to implement Gen AI in 2026

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What’s Holding Retail Back 

High potential, blocked by outdated systems and siloed data. 

Retail is in constant reinvention, shaped by shifting customer behavior, global supply pressures, and rapid competition. Yet many transformation efforts fail because the foundation is not ready. 

Legacy POS and ERP systems drain resources while limiting agility. Customer data sits fragmented across e-commerce, loyalty, and in-store channels, making personalization difficult to achieve. Forecasting often lags reality, leading to costly overstocks in some areas and stockouts in others. Fraud and shrinkage continue to rise, and ESG requirements demand retailers prove both efficiency and responsibility. 

At the same time, customer expectations are accelerating. Shoppers want real-time personalization, seamless omnichannel experiences, and fast fulfillment. These standards cannot be met with disconnected systems or short-lived AI pilots. SENEN helps retail leaders overcome these barriers by aligning data, systems, and teams so transformation can scale across brands, regions, and customer touchpoints. Infographic 

The SENEN Approach to Retail Transformation 

SENEN’s retail framework is designed for the complexity of enterprise and conglomerate retailers. We work with leadership and operations to align data, systems, and people, ensuring transformation reaches across stores, channels, and brands.  


Our model of Strategize, Operationalize, Revolutionize provides a structured path to make Data and AI initiatives clear, practical, and scalable. 
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We guide retailers through the full journey of transformation, from strategy to adoption, ensuring initiatives scale across channels and regions. 
SENEN Retail Approach Framework

Strategize

We identify where data and AI create measurable impact across the retail value chain. From customer engagement and loyalty growth to supply chain precision and fraud reduction. Our strategy work ensures leadership alignment, business relevance, and a roadmap for scalable execution. 

Focus Areas

  • Enterprise data and AI maturity assessments
  • Use case prioritization across merchandising, logistics, and customer engagement
  • Data governance frameworks for omnichannel retail
  • KPI definition and ROI modeling 
SENEN Retail Approach Framework

Operationalize

We turn strategy into systems that work. SENEN modernizes and connects core retail platforms—POS, ERP, CRM, and e-commerce—while building the data infrastructure required for AI at scale. Our approach is platform-agnostic, integration-focused, and built for enterprise performance. 

Focus Areas

  • Data warehousing and cloud migration
  • Customer Data Platform (CDP) integration
  • IoT and sensor data management
  • AI-ready architecture design
  • MLOps pipelines for model deployment and monitoring 

SENEN Retail Approach Framework

Revolutionize

We embed data and AI directly into operations to drive transformation that lasts. From forecasting and personalization to fraud analytics and sustainability intelligence, we help retailers shift from reactive to predictive, unlocking agility, accuracy, and efficiency across every function. 

Focus Areas

  • Demand forecasting and dynamic pricing optimization
  • AI-powered personalization and loyalty programs
  • Fraud detection and loss prevention analytics
  • Real-time inventory optimization and supply chain visibility 

Strategic Solutions for Modern Retail 

Customer Data Platforms and Personalization
We unify fragmented customer data from POS, CRM, loyalty, and e-commerce systems into a single source of truth. With advanced analytics and AI, retailers can deliver hyper-personalized offers, improve loyalty, and scale omnichannel experiences. 

Demand Forecasting and Inventory Optimization

Predictive models improve demand planning, reduce overstocks and stockouts, and optimize inventory turnover. Retailers gain visibility across distribution centers and stores, ensuring products are in the right place at the right time. 

Fraud Detection and Loss Prevention
AI-driven anomaly detection and advanced analytics reduce fraud and shrinkage across both physical and digital channels. We help retailers protect margins with solutions for transaction monitoring, returns analysis, and theft prevention. 

Workforce Optimization and Scheduling 

AI-enabled workforce planning improves store operations, reduces labor costs, and balances staffing with customer demand. Solutions support employee productivity and create better customer experiences in-store. 
Omnichannel Integration and Legacy Modernization
We integrate POS, ERP, CRM, and e-commerce platforms to deliver unified data flows and real-time insights. Our approach modernizes legacy systems and builds cloud-ready infrastructure that supports retail innovation. 
Supply Chain Visibility and Resilience 
Advanced analytics and AI-driven scenario modeling strengthen supply chain agility. Retailers gain real-time visibility into logistics, suppliers, and distribution, supporting efficiency, resilience, and ESG compliance. 
MLOps and AI at Scale 
We design and implement MLOps frameworks that operationalize AI across retail enterprises. From pricing optimization to computer vision for stores, we ensure models are deployed, monitored, and scaled consistently. 
ESG and Sustainability Intelligence 
We build ESG dashboards and reporting pipelines to track emissions, energy use, and sourcing data. Retailers gain actionable insights for compliance while strengthening their sustainability profile. 

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

Retail

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.

Construction

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.

Energy & Utilities

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.

Manufacturing

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.

Other

AI integration for ambitious scale-ups, Policy leaders and sectors looking to operationalize efficiency, speed up decisions, and maintain culture.


FAQs

The most common AI uplifts with greatest impact include improved personalized product recommendations & shopping, instant customer support & smarter inventory management to name a few.
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.
Agentic AI automates retail workflows & associated decision-making processes. Dynamic pricing, inventory and route optimization and service issue resolutions are some of the more common use cases of agentic ai application in retail.

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