Following a recent move from Microsoft Azure to AWS, RepricerExpress has been able to deliver better performance for its customers, together with greater ease of use and costs savings. Overall, using AWS infrastructure has enabled them to provide a better customer experience and faster Amazon repricing.
RepricerExpress helps 4,200+ Amazon and eBay sellers to automate and optimise their marketplace prices with repricing software. The Amazon repricing tool reprices more than 50 million SKUs each month and supports customer sales of $60 million each week.
According to Chris Dunne, Marketing Executive at RepricerExpress,
“In just five years, we’ve gone from receiving about 5,000 price notifications a day to over a billion a month. We expect our customer base to double in the next year, which will bring us up to about 320 million daily price notifications and 12 terabytes of data on our servers. Our analysis found that the AWS offerings for Microsoft tools are really quite mature and that AWS would be a better platform than Azure for that kind of growth.”
RepricerExpress now utilises Amazon Simple Queue Service (Amazon SQS) for queuing pricing information, Amazon Elastic Block Store (Amazon EBS) with Provisioned IOPS Solid State Drive (SSD) for high-performance block storage and AWS Directory Service for extending Microsoft Active Directory to the AWS Cloud. By taking advantage of the high-performance SSD option for Amazon EBS, RepricerExpress can reduce costs and deliver even stronger application availability.
About RepricerExpress
RepricerExpress is an automated Amazon repricing tool that helps sellers to automatically price their listings competitively so they can sell more items and win more Buy Box without having to closely monitor their accounts.
With RepricerExpress, Amazon merchants have reported a significant increase in sales whilst saving significant time that can be used elsewhere. RepricerExpress is an Amazon Technology Partner and listed on the Marketplace Appstore within Seller Central.
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*A version of this article first appeared on the AWS blog
