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Predictive Analysis Helps E-commerce Consultant Improve Efficiency and Delight Customers

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Overview
In an ecommerce platform, there are several factors that determine how good a product does in terms of sales figures as well as after-sale performance. Some of those factors include aesthetics - its look and feel, attributes, etc. - and its actual usability and functionality. With enough data, brands can find out which of these attributes correlate to the best - or worst - sales, and consult sellers and brands on what to keep and avoid for best results. This is exactly the kind of service our client offers.
Predictive Analysis Helps E-commerce Consultant Improve Efficiency and Delight Customers
Key points
    • Our client consults brands on product attributes and price points for maximum performance.
    • They use product attributes data as well as customer reviews to build models that correlate these factors with sales and product performances.
    • They needed to scale their data extraction to cover 1500 product categories from various ecommerce platforms.
    • Grepsr provided the freshest and high quality data across these 1500 product categories multiple times every day.
Challenges

As a consulting firm, our client is in a unique position to be able to advise some of the largest global brands on what specifications to include and avoid in their products. This could include anything from whether lace-up shoes perform better than slip-ons or Velcros, or if items at lower price-points deliver better qualities than their mid or higher price-point counterparts.

To be able to provide such insights and build trust, our client needs access to large amounts of product data on a daily basis. With an in-house team, they were able to make do for a couple of years. As the business grew, they needed to scale their data extraction efforts, and were on the lookout for a sustainable solution that could automate extractions multiple times a day, integrate well with their own filesystems, and, more importantly, understand their requirements and respond quickly.

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Grepsr is the best vale for the money and accuracy of the data. It’s like flipping on a light switch or answering the telephone. It just works!

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Matt S.Industry: Computer Software
Industries : Computer Software
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400M+
Records processed per day
750M+
Web sources parsed
30K+
Keywords
99%
Data reliability
Solutions

Grepsr’s experience with ecommerce data extraction allowed our client to get product data for hundreds of keywords with ease. Our platform’s scheduling feature also enabled customized crawl run times, ensuring the availability of the latest datasets multiple times every day.

In addition, after each extraction was completed, the resulting dataset was seamlessly fed to their local storage, resulting in a smooth workflow.

Solution Illustration
Similar challenges faced across the industry:
Lack of technical know-how to automate routine data extractions

Businesses need fresh data to gather the best insights. To that end, one or two data extractions a day does not suffice. They need a system that can easily schedule crawl runs at specific intervals as well as on demand.

Lack of resources - time, money and manpower - for data sourcing at scale

Data extraction is extremely tedious and highly error-prone. Most businesses lack the infrastructure to perform high volumes of data sourcing, and at a quality that yields the best results.

Overcoming data source restrictions

Most websites place limits on how many requests can be made in a set time period, and regularly block bots from accessing their content.

Data acquisition doesn’t have to be a burden

Offload your routine data extractions on our able hands, and focus on more pressing matters.
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