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NZ’s First Machine Learning Capable Sales Tool
Noel Leeming And Quantiful Introduce NZ’s First Machine Learning Capable Sales Tool
Auckland, New Zealand - Monday 14 December 2015
Following TW Group CEO Mark Powell’s recent announcement that 25% of the group's marketing budget will now be focussed on digital, Noel Leeming has introduced Match - a mobile product comparison tool driven by Machine Learning - into a number of its stores.
Noel Leeming has partnered with Quantiful to develop Match, a mobile tool that allows sales staff to instantly identify the best mobile and broadband plan across all telco suppliers for their customers’ needs. Match and Noel Leeming staff use the customer’s personal information and preferences and provide precisely targeted suggestions and recommendations for their mobile phone and plan.
Alan Gourdie, MD at Quantiful, said, “With Match decision making for the customer and sales staff is now effortless. Products and services details and advantages are seamlessly displayed, encouraging customers to make a more informed final selection. This convenience is the key to a happy customer.”
Match provides a simpler, more streamlined service with supporting device and plan comparison, selection and purchasing. Using consumer and accessible transactional data combined with relevant external data, Match recommends complementary products in mobile, broadband and media services that fit with a customer’s individual needs and preferences.
Paul Taylor, Head of Telecoms Connectivity Development at Noel Leeming, said, “It is early days but since the introduction of Match (Compare and Save) our customers are enjoying the fact we can now give richer independent advice and the convenience of seeing all the options in one place.”
About Match:
• Customers’ needs can be quickly and conveniently understood in a retail environment.
• Customers can view competing alternatives and evaluate relative prices and features themselves
either in-store or online.
• Inbuilt purchasing enables staff to accompany customers through the transaction process.
• Automatic hand off to the provisioning system is uncomplicated and lead data is generated.
• Ongoing programmed interaction allows further offers on complementary products and deals on new models or subscription renewal services.
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