Solution Introduction

A Non-Intrusive, Intelligent Solution To Reimagine The Retail Space

Omni-channel Retailing

The world of retail is changing. The next-gen shopper has access to unlimited choices, as omni-channel retailing gains predominance. Shrinking product lifecycles and mounting margin pressures threaten the very existence of the traditional retailer, as retail shopping experience undergoes transformation. Strict regulations around end-user privacy make it increasingly more difficult to gain in-store insights around the connected shopper, handing omni-channel retailing the advantage in their bid to match the shopper’s growing expectations. Real-time In-store Insights (RII) by HCL Technologies buys into the limitless power of IoT, enabling the retailer to make real-time, intelligent decisions and reimagine the retail space of tomorrow, while co-creating a personalized shopping experience with the modern, connected shopper.


RII utilizes radar sensing technology and camera imaging to capture accurate demographics and real-time locations of shoppers. It utilizes distributed computing technology and AI to track key shopper touchpoints and represents them on web-based dashboards in the form of powerful & correlated retail insights, heat maps and trend reports – facilitating quick tactical and strategic decision making.


RII is a versatile solution that can be rapidly scaled up without incurring significant establishment costs, resulting in high ROI. Shopper privacy concerns are easily alleviated, as it can run independently of end-user devices.


A Retail AI Solution That Transforms Businesses Into Next-Gen Enterprises


Heat Maps, Dwell Times

Highlights key retail touchpoints & in-store interaction times, provides real-time accurate footfall count. Can be correlated with staffing requirements & in-store promotions, and provides insights into queue management & in-store operations


Interactive Dashboard

Visibility of legacy & real-time retail insights anywhere, anytime on web-based apps. Custom analytics and role-based access for different levels of decision making


Composite Retail Metrics

Retail analytics that can be integrated with existing ERP, CRM & PoS software and correlated with inventory, sales & profitability metrics


Scalable, Affordable & Accurate

Re-composable, distributed architecture that supports global deployment, easily retrofittable solution, with minimal IT and structural requirements. Innovative radar technology can overcome inclement in-store conditions and run independent of end-user devices


Co-creating The Store Of Tomorrow, Powered By Retail IoT

Redefine Smart Shopper

  • Create rich, contextual demographic sets
  • Correlate with seasonality and product listings
  • Retail analytics driving better understanding of buying behavior

Optimize Store Operations

  • Redefine in-store layout and staffing models
  • Improve inventory turns based on footfall & purchase trends
  • Optimize operational costs

Personalize In-store Experience

  • Run intelligent in-store promotions
  • Track & improve shopper-staff interactions at key touchpoints
  • Design smart planograms, increase conversion rates
  • Personalize in-store retail journey

Scale & Transform

  • Easily scalable architecture ensures high ROI
  • Integrate with PoS & Loyalty programs to improve retention
  • Design adaptable business models based on real-time inputs
  • Eliminate obsolescence and redefine product lifecycles

Functional Workflow

Intelligent Architecture For The Next-Gen Retail Store

Retail Space

Why Us?

Unmatched capabilities expanding new horizons in IoT


Accelerator for device


Data Analytics

IDEA Gateway

Reference design for an intelligent device

Platform Acceleration Suite

Build next generation cloud services


Global IoT Services Wave for Connected Business Operations, Q4 2018



ISG Research Quadrant for IoT in Healthcare, U.S. Market 2018



ISG Research Quadrant for IoT in Connected Cars, U.S. Market 2018



ISG Research Quadrant for Overall IoT Services, U.S. Market 2018



HfS Blueprint Guide: Industry 4.0 Services, 2017



IoT Services Peak MatrixTM assessment, 2017



Zinnov Zones, IoT Technology Services, 2016


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