Leveraging Cloud and Data Science to Manage Demand Spikes

Noida-based Moglix has played a pivotal role in transforming B2B commerce since its launch in 2015. Having achieved the distinction of becoming the first unicorn in the industrial B2B commerce platform in the manufacturing space, the company is experimenting with a slew of technologies to manage data and the spikes between the business cycles while providing a consistent user experience.

“If you look at the 100% of the orders that we process in a month, the first half of the month is slightly leaner, where we would do about 25% of the transactions. Maybe in the next five days, we will do an additional 25%, and during the last 5-10 days, a big chunk of transactions will occur,”

says Puneet Kumar, VP Tech, Moglix

“There is much information moving to and fro between systems, and a lot of them are financial in nature, having very core data from the customer side, the supplier side. So, there is much focus on the security of the systems we take care of really well. As we start transacting with more and more businesses, the volume of data that we are storing is also going up. So, again, efficient cloud models will enable us to scale up those demands,”

Kumar adds.

The company says that it follows security at multiple levels, such as data encryption, which happens at the application and network level, two-factor authentication levels, and making data as granular as possible based on the user’s role. Kumar also talks about how Moglix ensures a consistent and integrated user-centric and cross-channel customer experience.

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