How to use data extraction techniques get business intelligence in the retail market, and stay two steps ahead of your competition.
In this page we will show you some of the innovative ways you can use data extraction to get turn data from the web and into actionable insights that will help you grow your business.
Price Comparison Data
The first way to use data from the web is to extract prices directly from your competitor’s websites using a price crawler to harvest prices in real time.
Know your enemy and keep them close.
- Are your prices above, below or just right for your market and your position within it?
- Is one of your 100’s of competitors running a sale that you need to know about ASAP?
- Are you a distributor looking to monitor that your products are being sold at the right price point by 1000’s of resellers?
Using our technology you can build a website price scraper and export this data into a spreadsheet, create database or integrate via an API. Furthermore you can analyze and compare the data by exporting it into BI solutions like Tableau to quickly and easily gain insight into your customers, competitors and market space.
Make Use of Big Data:
There are 10,000’s of websites out there with information that your business can use to get ahead of the competition. Create a price bot to extract data from competitors websites or comparison sites, and we’ll normalize it for you into one easy to use format.
By using aggregated data across your market, you can be at the apex of the information curve. You can then store that information in a time-stamped database and generate histograms which track all the data within your market over time.
Get the Best Margins Every Time:
Manage your product pricing with price automation. Use the data you collect on your competitor’s prices and compare these against the market rates for those products. You can then use a real-time pricing scheme on your website to price your products for you based on pre-defined margin and your competitor’s price. This way you can stay competitive in real-time while maintaining a maximum margin on your retail goods.
By: Daniel Cave