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Ecommerce Product Matching – Facts And Figures

Businesses are motivated to find cutting-edge solutions to customer problems by the expanding e-commerce trend. According to the latest statistics from Statista, it is estimated that 1.46 billion people made digital purchases in 2015. The number rose to 2.14 billion in 2021. By 2022, e-commerce is expected to represent 21% of all retail sales globally, up from 10% only five years ago. According to projections, the online market will account for about 25% of all retail sales worldwide by 2025. To provide more innovative services, they incorporate AI/ML tools.

Recently, merchants have become more interested in the problem of product matching in e-commerce. They employ a product mapping system to enhance their pricing and make it more effective.

Benefits Of Product Mapping

Product Title Matches

The title similarity section uses machine learning to match products by measuring how similar the titles are. The technique can quickly identify identical titles even when the comparison strings are drastically different.

Price Comparison

It is common to find similar products offered at roughly the same price. The fact that one offers stands out from the others may indicate that the product is unique. It is valid to apply the opposite of this rule. The Analysis Of Price Distribution identifies similar offerings.

Image Similarity

The same basic idea underlies title similarities and image similarities. Analyzing visual similarity is used to find similar products. Image similarity is most difficult when there aren’t enough identified data points on the product. Additionally, the viewpoint (as seen below), color temperature, brightness, and other aspects of the same product photos may vary.

Product Mapping Techniques

Product mapping involves product matching through manual, automation, and hybrid processes. At X-Byte, we have setup a hybrid process of automation and manual data mapping and extraction to get the enhanced pricing/ listing.

Types Of Product Mapping

Identical

Exactly matching goods are those with the same attributes.

Similar

Similar matches are almost identical products but differ somewhat from one another due to one or more factors, such as color.

Attribute Extraction

The technology starts with data analysis algorithms and gauges the degree of product discrepancy. The similarity of the product categories is the basis for the product-matching algorithm. There are slight variations between identical goods. Dimension, brands, color, quality, model, and so on are examples.

Use Cases

Develop Competitive Pricing

Enhance Product Listing

Product Listing Optimization

Product Title Intelligence

Elevate Your Business With Key Data-insights

Why Choose X-byte For Product Matching?

Highly Scalable

There is no throttle limit at X-Byte in case of No. of request be served or No. of records to be extracted.

Fully Customizable

X-Byte Platform to be configured in accordance with client’s exact requirement at all level.

Domain Expertise

Proudly serving small, mid-size, and large to Fortune 500 companies with 8+ years of experience.

Quality Assurance

Get assured of 99.9% accuracy with consistency in the Product data scraping data quality.

Avoid Blockages

Use multiple proxies, keep appropriate delays, and Resolve Captcha in real-time in Product Web Scraping.

Our Process

Our Process Solutions for Your Successful Business

01

Interaction

Hand-shake connection has been established between potential customer and Business Team
02

Evaluation

Compliance & Technical specialist examines the identified business need of potential buyer
03

Exceed Expectation

Build a strong long term relationship with a client by exceeding their expectations at every stage
04

Disposition

Delivery team dispose off the Exemplary Service to ensure the customer delight
05

Consultation

Potential customer exchange information and Business Team of consult them with expert advice
06

Execution

Potential Buyer confirms the compliance details to allow Engineering team to start Execution

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