Personalized Customer Experience is one of the many ways major retailers continuously improve customer service and increase sales. The analytic techniques we mention in this blog have been used by major retailers around the world for decades. The worst part about all of this – small businesses don’t even know these technologies exist.
Welcome to the final part of our three-part blog series, “A Retail Success Story.” In the previous two posts, we delved into how we helped our partners uncover previously hidden insights in their data and the obstacles we faced along the way. Now, we’ll be discussing what the analytic process led to: the development, operationalisation and growth of a new loyalty program.
Welcome to Part 2 of our 3-part blogpost series where we delve into the topic of “how deep data analytics will dramatically change your business.” In this part, we will explore the importance of “data” for businesses, ecommerce and traditional brick and mortar retailers of all sizes alike and how “data” significantly improved the financial results in the Himalayan java eco-system.
In this three-part blog series, we will take a deep dive into the journey of the largest coffee chain in Nepal, Himalayan Java, and show how advanced data analytics unlocked hidden insights, leading to positive business outcomes and increased financial success. Join us as we delve into this exciting case study and discover how you too can revolutionize your business operations.
We had the great pleasure of visiting NRF 2023 and it was an incredible experience to say the least. From the people I met to the technology I saw, I felt like I had a peek into the future of retail. In this blog post, we’ll explore the biggest takeaways from my trip and the trends that are shaping the future of retail.
In our quest to make companies like Himalayan Java, the largest coffee chain in Nepal, more data-driven, we’ve learnt a thing or two about what retailers need to know when it comes to data and data analytics. For the benefit of other retailers considering a move into more data-driven operations, we thought we’d list out the lessons we’ve learnt so far.