Introduction: Return to Origin (RTO) is a significant problem for businesses that rely on accurate and timely delivery of goods to their customers. When a delivery attempt fails due to an incorrect address or the recipient being unavailable, the courier returns the package to the sender or the warehouse, resulting in additional costs, delays, and […]
In today’s customer-centric world, businesses and organizations are increasingly harnessing different technologies to optimize operations, improve customer experiences, and drive growth. Location data is particularly valuable in this rapidly changing world, where consumer behavior and market trends can shift rapidly. The geospatial data not only tells us where people are, but also provides insights into
Debt collection is a delicate undertaking for lenders as they tend to dabble between debt recovery and retaining customers. Perhaps the most challenging function in the lending ecosystem, debt collection has immense scope for improving its processes. The current challenges with debt collection are: Incomplete or old address information of the debtors Reachability issues due
Proper customer segmentation is important because it allows businesses to focus their marketing efforts on specific target markets more likely to purchase their products or services. As there is always a scenario where you’ll find a group of a target audience that you have been not able to cater to for your products/services. So, segmenting
Quick Service Restaurants thrive on walk-ins. Even though these businesses have partnered with food delivery services for online orders, the overheads and order ticket sizes are the two challenges that come along with it. With hyperlocal targeting, brands in this model can identify specific catchments around their facility with a higher density of their target
Risk assessment and credit profiling for new to credit customers is tricky. Along with it, there is great scope for improving the accuracy of risk prediction for credit-served customers too. For NAVI, we discovered location attributes that indicate the risk appetite of prospect users. Next, we augmented their user database with these location variables/ attributes
