The Challenge
Confusing navigation, disconnected experiences
Three out of five customers preferred shopping both online and in store. With legacy mainframe systems, the customer journey was spread across numerous websites, brands, and over 600 applications. There was difficulty and confusion in navigation, which adversely affected online sales - barely one, out of 10 sales, was made online.
Unavailability of accurate inventory
Updated stock information was unavailable across channels, because of which customers couldn’t make the right choices as per their needs.
Lack of sufficient customer data
A consolidated view of the customers’ data, like their online behavior, decision moments, preferences, etc. was not available. This was impeded offering a personalized shopping experience.
Limitations of the legacy systems
There were more than 600 applications and complex digital journeys across multiple websites and brands. Its legacy systems meant manual monitoring was needed and peak seasons and product launches were stressful times, as the number of transactions was high. This also hampered the ability to maintain critical client data.
Limitation of store colleagues to do contextual selling
The client’s internal system didn’t offer its sales representative at the store a 360-degree view of the customer. They didn’t have information on customer and order look up, recommendations to upsell, product information, reviews and ratings and information on abandoned carts.
Lack of cross-channel fulfilment and returns
The internal teams had a limited view stock online and in stores from any channel. There was also no way to link online and store orders of customers. They had a disconnected buy, collect and return experience across channels.
"8 years of digital acceleration in a space of less than two years"