Broomfield, CO, USA
Apr 15, 2019 | By Pratap Dangeti
A.I. based automated Anomaly detection system is gaining popularity nowadays due to the increase in data generated from various devices and the increase in ever evolving sophisticated threats from hackers etc. Anomaly detection systems can be applied across various business scenarios like monitoring financial transactions of a fintech company, highlighting fraudulent activities in a network, e-commerce price glitches among millions of products, and so on.
Apr 4, 2019 | By Kumar S
One of the key drivers of cost for ecommerce businesses is the last mile delivery charges. Consumers have the option to switch between e-retailers depending on their willingness to pay delivery charges, which is generally significantly low. This notion puts the power into the hands of the customer. Delivery charges, when added just before payment, makes the customer rethink and is one of the reasons for shopping cart abandonment.
Mar 13, 2019 | By Kumar S
Advancements in big data and machine learning has increased the efficiencies of analytics driven organisations. Companies that have adopted the culture of data driven decision making have clearly outperformed their competitors. The next step in this AI & ML evolution is to use automated anomaly detection to identify instances that are unusual, appreciate the true reason behind that anomaly and leverage the insights gained to grow the business.
Feb 12, 2019 | By Pratap Dangeti
As any operator can attest, successfully managing a business, in the telecom landscape, entails managing the inherent sub-divisions well, such as revenue generation, cost optimisation, customer experience, and operational efficiency etc. By arranging and integrating each individual piece of the puzzle perfectly, we can achieve a desired business outcome, which is all part of the big picture of the company.
Feb 7, 2019 | By Rohit Maheshwari
A typical shopper visits the website, selects items, adds them to the shopping cart, provides a delivery address, selects payment method and confirms the purchase. Let’s consider a scenario where, after selecting the items, the customer abandons the cart and leaves the website. This occurrence is not as rare as one would think, and Dotcom stores look to optimise the checkout process and attempt to decrease this customer behaviour as much as possible.