Retail Analytics

Retail Analytics Across the Value Chain

Leverage retail analytics at every point of the value chain to drive business results. Whether you are streamlining inventories, personalizing customer experiences, or applying advanced analytics, successful practices begin with integrating data and effectively managing new data as it comes at unprecedented size and speed. In today’s digital age, where empowered customers are dictating the terms of engagement, achieving profitability means delivering the right products to the right customer through the right channel at the right time. Combine your existing online, mobile and IoT retail data to create a unified omni channel experience tailored for individual customers.

Customer Intelligence

  • Customer Segmentation
  • Customer 360º
  • Customer Lifetime Value
  • Loyalty Analysis
  • Sentiment Analysis
  • Customer Journey Mapping
  • Learn more


  • Omnichannel Analytics
  • Promotional Effectiveness & Planning
  • Personalization & Campaign Insights
  • Competitive Market Insights


  • Supplier Collaboration
  • Pricing Analysis
  • Basket Analysis & Profitability
  • Conversion Optimization
  • Product Affinity & Recommendations
  • Assortment Planning
  • Revenue Optimization

Store Operations

  • Shrinkage
  • Workforce Management
  • Store Personnel & Vendor Compliance
  • Store Performance
  • Inventory Transparency
  • Category Management

Supply Chain

  • Logistics
  • Inventory Transparency
  • Demand Forecasting
  • Assortment Planning
  • Supplier Performance

What we do

We’ve delivered data management solutions to over hundreds of leading retail & consumer goods companies to support robust analytical environments and scale analytics across their organizations. Our solution suite and services enable decision makers to identify weak points and gauge the value of specific products, as well as customers.


  • Enterprise-wide insight for all users, enabling fact-based decisions and intelligent interaction
  • Pre-designed templates embracing existing data sources and seamlessly integrating with transactional solutions to improve business insight
  • Slice & Dice, Drill down data across different dimensions hierarchy
  • Achieve a unified view of data from multiple sources
  • Ad-Hoc reporting & dashboards
  • KPI Measurement
  • Machine Learning Capabilities
    • Build a 360° view of every store and digital marketplace to track trends nationally or globally
    • Deeply understand your customer needs in order to attract & nurture their loyalty

We help retailers at each stage of their analytics journey

Whether you’re learning to analyze transactional data, or using machine learning to predict customer behavior, our BI services and solutions can work with your existing environment and address your unique challenges. Having delivered over 300 BI & Data Warehousing solutions to enterprises and major retail brands, we’ve established the following Retail Analytics Maturity Model. Explore each stage of the journey to see which kind of analysis is enabled–and how you can grow your practice to offer the right product to the right customer using the right channels.

Our Services

From strategy to application development, our services cover the full spectrum of BI capabilities and enablement.

Big Data Management

Harness and integrate your unstructured data by establishing robust infrastructure to support its speed, size, and variety. Optimize the shopping experience by incorporating customer behavior, mobile analytics, and connected data to predict online shopping behavior and suggest the perfect addition to a customer’s shopping cart.

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Cloud Integration + Hybrid

Evolve your data management capabilities in the cloud without compromising business agility; reduce time to market, connecting data across on-prem, cloud, IoT, streaming and Big Data.

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Enterprise Data Lake

Store and process your raw Big Data into fit-for-purpose data sets. Build a single 360° Customer View and enable smart data discovery and advanced analytics capabilities.

Strategy Development

Develop analytical strategies based on organizational goals, foreseeable opportunities, and technology capabilities.

Enterprise Data Warehouse

Ensure that your data is stored, processed, and accessed efficiently to support the growth of your organization.

Technology Evaluation

Maximize your use of technologies and data investments by addressing pain points and establishing best practices.

Data Quality & Governance

Establish a strong governance strategy to comply with regulation, reduce costs and security risks, and secure sensitive data.

Master Data Management

Identify the most critical information in your organization and create a single source of truth to power business processes.

Application/Portal Development

Develop custom applications to aid your teams in care management, operational intelligence, and predictive analytics.

Our Customers

Case Study: Analytics in E-Commerce

At one of the largest e-commerce sites in the US, Systech implemented a business intelligence/data warehouse solution that supports a comprehensive retail analytics practice including: customer analytics, site analytics, marketing analytics, supply chain, and traditional retail metrics & reporting. With Systech’s help, this retailer analyzed customer segments and optimized site experiences to reduce bounce rates, boost conversion, and identify opportunities for increased revenue. Learn more or see our full list of customers.

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