Whitepaper
Machine learning 101 for savvy retail marketers
This whitepaper outlines strategies and tactics for marketers to make the best use of machine learning in creating a data-powered retail organization
Insight 1
To maximize response rates, segment customers in a way that helps determine what and when they are likely to purchase.
Insight 2
Identify customers who have not purchased within a specific cutoff date and provide incentives for them to return.
Insight 3
Use recommendation engines to suggest similar or related products to customers who have recently purchased or searched for items.
Insight 4
Leverage third-party data from data management platforms and other data sets to increase performance.
Form anchor in text block below
Complete the form below to download the whitepaper.
HGS has received ample recognition and ratings for the transformational self-service experiences we’ve offered our 200+ clients across 10 industries.
HGS is helping its clients become more competitive every day.
HGS combines automation, analytics, and artificial intelligence with high quality talent and deep domain expertise to achieve superior outcomes in the areas of digital customer experience, back-office processing, contact centers, and HRO solutions.
In finding the perfect balance of people and technology, we build our clients’ businesses for the future.
A global leader in business process management (BPM) and optimizing the customer experience lifecycle, HGS is helping make its clients more competitive every day. HGS combines technology-powered services in automation, analytics and digital transformation with deep domain expertise focusing on back office processing, contact centres, traditional and digital customer care, and HRO solutions to deliver transformational impact to clients. Part of the multi-billion-dollar conglomerate Hinduja Group, HGS takes a true “globally local” approach, with over 41,110 employees across 59 delivery centres in seven countries.
© Hinduja Global Solutions Ltd. All rights reserved.
Privacy | GDPR | Complaints | Policies | Sitemap |