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

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Overview

In an ecommerce platform, several factors 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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“Even for a small team like ours, Grepsr has helped enormously in enabling us to handle dramatic volumes of data.”

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CEO
1500+
Product categories
8M+
Records per month
99%
Improvement in data quality

Solutions

Grepsr’s 10+ experience in ecommerce data extraction allowed our client to get accurate product data for hundreds of product categories and 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.

Process

Getting started with Grepsr

Start with Grepsr in a few easy steps. Leave the heavy lifting with data acquisition to us so you can focus on innovation, and growth.

1
Initial project consultation
First, we'll discuss the specifics of your data needs and the KPIs you would like to have in order to ensure successful project execution.
2
Instrument web crawlers
We'll then set up automated extractions specific to your use-case, and send you a sample dataset before moving on to a full-scale crawl.
3
Begin data collection
Once you've approved the sample data, we will start scaling and performing the full run, and deliver the data in the agreed timeframe.
4
Hassle-free maintenance
Our team will ensure that all subsequent runs are running well, and that your data is delivered as scheduled with the least disruption.
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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