IBM Case Studies DLF Ltd. Mobile technology and cloud-based analytics used to understand and influence customer behavior

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	DLF Ltd. Mobile technology and cloud-based analytics used to understand and influence customer behavior IBM

DLF Ltd. Mobile technology and cloud-based analytics used to understand and influence customer behavior

IBM

Technology Category	Analytics & Modeling - Real Time Analytics Platform as a Service (PaaS) - Data Management Platforms
Applicable Industries	Retail
Applicable Functions	Business Operation Sales & Marketing
Use Cases	Real-Time Location System (RTLS) Retail Store Automation
Services	Cloud Planning, Design & Implementation Services Data Science Services
Challenge	DLF Ltd., one of India's largest commercial real estate developers, wanted to enhance the mobile shopping app of the DLF Promenade mall to deliver insights about customers that retailers could use both to enrich the shopping experience and to influence customer behavior. The mall, located in an upscale community of over 100,000 residents in the Delhi National Capital Region (NCR) of India, occupies more than 4.6 million square feet of real estate and features many high-end international brands. The challenge was to help retailers develop a higher conversion ratio of visitors to buyers by providing them with valuable insights about customer behavior. Read More
About Customer	DLF Ltd. is one of India’s largest commercial real estate developers. DLF Promenade, one of the premier retail properties of DLF Ltd., is a premium-brand, fashion-themed shopping mall in Vasant Kunj, an upscale community of more than 100,000 residents located in the Delhi National Capital Region (NCR) of India. The mall occupies more than 4.6 million square feet of real estate and features restaurants, cinemas, an expansive children’s playground and fashionable shops representing many high-end international brands. Read More
Solution	DLF Promenade uses intelligent, location-based technology, device-resident mobile data and cloud-based near-real-time analytics to gain valuable insights about onsite and in-store customer behavior. By performing deep analytics on data extracted from sensors embedded in visitors’ smartphones, the mall lets retailers develop a contextual portrait of customers in near-real time, enabling them to offer effective and timely promotions to help drive sales. The solution drives increased sales by matching a customer’s location to relevant shopping venues, enabling retailers to push near-real-time promotions to influence shopper behavior. It also helps optimize marketing efforts by providing near-real-time insights about which promotions are most attractive to shoppers. Read More Log in to view content
Contents

Technology Category

Analytics & Modeling - Real Time Analytics

Platform as a Service (PaaS) - Data Management Platforms

Applicable Industries

Retail

Applicable Functions

Business Operation

Sales & Marketing

Use Cases

Real-Time Location System (RTLS)

Retail Store Automation

Services

Cloud Planning, Design & Implementation Services

Data Science Services

Challenge

DLF Ltd., one of India's largest commercial real estate developers, wanted to enhance the mobile shopping app of the DLF Promenade mall to deliver insights about customers that retailers could use both to enrich the shopping experience and to influence customer behavior. The mall, located in an upscale community of over 100,000 residents in the Delhi National Capital Region (NCR) of India, occupies more than 4.6 million square feet of real estate and features many high-end international brands. The challenge was to help retailers develop a higher conversion ratio of visitors to buyers by providing them with valuable insights about customer behavior.

About Customer

DLF Ltd. is one of India’s largest commercial real estate developers. DLF Promenade, one of the premier retail properties of DLF Ltd., is a premium-brand, fashion-themed shopping mall in Vasant Kunj, an upscale community of more than 100,000 residents located in the Delhi National Capital Region (NCR) of India. The mall occupies more than 4.6 million square feet of real estate and features restaurants, cinemas, an expansive children’s playground and fashionable shops representing many high-end international brands.

Solution

DLF Promenade uses intelligent, location-based technology, device-resident mobile data and cloud-based near-real-time analytics to gain valuable insights about onsite and in-store customer behavior. By performing deep analytics on data extracted from sensors embedded in visitors’ smartphones, the mall lets retailers develop a contextual portrait of customers in near-real time, enabling them to offer effective and timely promotions to help drive sales. The solution drives increased sales by matching a customer’s location to relevant shopping venues, enabling retailers to push near-real-time promotions to influence shopper behavior. It also helps optimize marketing efforts by providing near-real-time insights about which promotions are most attractive to shoppers.

Impact #1	The solution drives increased sales by matching a customer’s location to relevant shopping venues, enabling retailers to push near-real-time promotions to influence shopper behavior.
Impact #2	It helps optimize marketing efforts by providing near-real-time insights about which promotions are most attractive to shoppers.
Impact #3	By tracking customer movement and heat-mapping areas of high congestion, the solution facilitates more effective footfall management throughout the mall.

Impact #1

The solution drives increased sales by matching a customer’s location to relevant shopping venues, enabling retailers to push near-real-time promotions to influence shopper behavior.

Impact #2

It helps optimize marketing efforts by providing near-real-time insights about which promotions are most attractive to shoppers.

Impact #3

By tracking customer movement and heat-mapping areas of high congestion, the solution facilitates more effective footfall management throughout the mall.

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Overview

DLF Ltd. Mobile technology and cloud-based analytics used to understand and influence customer behavior

Operational Impact