Product price
optimization using
price monitoring

Check out how an Australian brand automated price monitoring using our AI-powered ecommerce platform.


product price optimization using price monitoring

Shruti Rajput

Content Marketer

SKUs

3,30,000

SKUs

competitor-sites

33

competitor sites

data-accuracy

100%

data accuracy

Business need

A top Australian brand with an omnichannel presence required a scalable ecommerce platform to monitor competitor prices daily. They wanted 10,000 products to be monitored daily across 33 different competitor websites. The client additionally required deals and promotions data to be collected for similar products from these sites, online ads, and other digital forums.

Challenges

High Volume

Not only was the volume of SKUs quite high, but also the number of competitor websites to be monitored was too large.

Price Monitoring Frequency

Daily monitoring of 10,000 products across 33 sites meant tracking prices for 3,30,000 SKUs to enable real-time price changes.

Collecting Data From Unstructured Sources

Identifying and extracting deals and promotions data from print ads and online newspapers required powerful ML capabilities.

eComNeo approach

eComNeo enabled the brand to make quick and accurate pricing decisions, boosting its sales and profit margins. Here’s how our ecommerce platform worked.

Scalable Price Monitoring Engine

Our ecommerce platform is built to manage vast volumes of ecommerce data, including competitive pricing data from unlimited sources.

Dynamic Price Changes

Monitoring product prices daily enabled the client to make instant decisions and set optimal product prices to maximize sales.

Automated Product Mapping

eComNeo leveraged AI-powered product matching algorithms to accurately map our client’s products with competitors’ similar products.

Results

Complete Market View

Monitoring competitor pricing, deals, and promotions from different online ads and newspapers allowed for a comprehensive market view.

Increased Sales and Retention

The client was able to make price changes in real-time to ensure they offered the best deals to customers, increasing sales by 40% and repeat customers by 37%.