Customer Intelligence & Insights

Retail

Improve the Customer Experience Across All Touch Points and Build Lifelong Relationships

Usage Examples

CI&I for Retail enables retailers to create engaging omni-channel shopping journeys that delight customers and increase profits. For example:

  • Pinpoint when/where/why customers abandon your path to purchase, and understand how to keep the customer on the path to purchase to improve your conversion rates.
  • Recommend personalized offers and product bundles based on discovered customer preferences at just the right time to exactly the right persona.
  • Focus attention on high value customers with personalized offers for your products and services, those of your partner ecosystem, or a combination that incentivize continued brand allegiance and foster customer delight.

The TCS Advantage

CI&I for Retail is a fully integrated customer analytics software solution built on open-source technology and designed specifically for retail.

Personalize the omni-channel journey

CI&I for Retail uses advanced analytics, machine learning, and decision rules to uncover buyer personas and their shopping journeys.

Beyond this unique understanding, the software enables retailers to personalize the shopping journeys based on persona characteristics and actions. Retailers can now guide their customers through a personalized journey using data-driven offers and recommendations delivered at the right moment, on the right channel, and to the right customer.

Open, Extensible, Scalable All-data Environment

CI&I for Retail is built with open-source components to enable fast deployment at a lower cost and can scale to accommodate all data sources that are relevant to your customers and their journeys.

It leverages existing IT investments, avoids vendor lock-in, and promotes integration with existing IT infrastructure via standard APIs, platform services, and data models.

Built for Retailers

CI&I for Retail is built using retail industry standard data models and formats. It is pre-configured to securely leverage data unique to retailers, such as POS data sources along with emerging data sources such as social media, digital footprints, and more.

Built using extensive TCS expertise gained from implementing thousands of solutions for retailers, CI&I for Retail includes the necessary security protocols and can be configured to support any number of privacy standards based on customer need.

CI&I for Retail Application Modules

CI&I for Retail offers two modules to help retailers address high value use cases. These modules are core application components that form a singular solution.

The Customer Analytics Module helps retailers discover shopper journeys and improve customer engagement based on demographic, psychographic and transactional customer data using machine learning techniques and proprietary statistical algorithms. Customer analytics includes Customer Digital Persona, Customer Journey Canvas and Customer Journey Discovery.

The Contextual Recommendations Module includes Next Best Offer/Next Best Action as well as the ability to define Customer Journey Rules. CI&I Retail uses machine learning algorithms to automatically surface next best customer action or the next best product offer and recommend best fit actions based on historical shopper behaviors and transactions. This powerful combination of algorithms and rules help retailers create the most relevant interactions at each stage of the journey to improve conversion and customer satisfaction.

More Information

Information Retailers Need to Know

VIDEO

Retail Perspectives

Discussion on trends within retail industry segments, such as grocery and apparel

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VIDEO

Digital Transformation in Retail: Key Success Factors

IDC analyst Leslie Hand talks about how retailers can stay competitive

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VIDEO

Trends in Retail Digital Transformation

A conversation between Greg Girard from IDC and Seeta Hariharan, GM and Group Head of TCS Digital Software & Solutions Group

VIDEO

How the pace of innovation in retail has redefined connected customer experiences

IDC analyst Leslie Hand in a conversation with Seeta Hariharan

WHITE PAPER

Multiplying Innovation in the Age of Experiential Retail

IDC analyst Leslie Hand talks about key success factors for digital transformation in the retail industry

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2019 State of the Retail Market

2019 State of the Retail Market In the Era of the Connected Consumer

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Customer Intelligence & Insights for Retail

Create engaging omni-channel shopping journeys that delight customers and increase profits

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