Through deep learning technologies, the process of “product mapping” locates items, their characteristics, costs, and other data across many resources.Product matches are among the most crucial elements of competitive data. The product attributes, such as its image, title, and description, are compared to the competitor’s goods.
STATISTICS – 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.
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.
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
Exactly matching goods are those with the same attributes.
Similar matches are almost identical products but differ somewhat from one another due to one or more factors, such as color.
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.
DEVELOP COMPETITIVE PRICING
ENHANCE PRODUCT LISTING
PRODUCT LISTING OPTIMIZATION
PRODUCT TITLE INTELLIGENCE
WHY CHOOSE X-BYTE FOR PRODUCT MATCHING?
There is no throttle limit at X-Byte in case of No. of request be served or No. of records to be extracted.
Get assured of 99.9% accuracy with consistency in the Product data scraping data quality.
X-Byte Platform to be configured in accordance with client’s exact requirement at all level.
Proudly serving small, mid-size, and large to Fortune 500 companies with 8+ years of experience.
Get Meaningful, Well-Structured and Usable Data
Hand-shake connection has been established between potential customer and Business Team
Potential customer exchange information and Business Team of consult them with expert advice
Compliance & Technical specialist examines the identified business need of potential buyer
Potential Buyer confirms the compliance details to allow Engineering team to start Execution
Delivery team dispose off the Exemplary Service to ensure the customer delight
Build a strong long term relationship with a client by exceeding their expectations at every stage
Large-Scale Pricing Data Scraping from Hotel Booking Websites
A well-known online Indian travel portal was looking for technological solutions for hotel price matching.
Flight Schedule Monitoring Powered by Data Mining
This case study is about how we have scraped data for a popular airline company to fulfill their flight schedule data scraping requirements for different aircraft to empower their analytics system.
E-Commerce Data Feeds for Real Time Pricing
This case study shows how X-Byte has fulfilled the data requirements of a research and analytics industry client, who needed a customized data scraper to scrape e-commerce data fields.
Mobile App Scraping
The organization is the global leader in Online Store Analytics, which has some popular Brands from Fortune 500 list in their Clientele.
Our Brand Monitoring Service has helped an organization to track and improve their marketing presence, brand presence, sustain brand identity, online business reputation, and digital assets.
Scrape Job Listings from Job Sites
This case study is about how we have scraped a list of source websites as well as provided data points to the USA client.
Our Airfare Data Scraping Services from OTAs Has Helped an Airline Giant
This case study is about how X-Byte Enterprise Crawling has helped an Airline Giant in improving its service quality with its Airfare data scraping services.
Scraping Restaurant Location Information
This case study is about how we have scraped restaurant location information about the biggest metropolitan areas in the USA for our client from Hawaii.
Protect and Grow Brand value
An organization wanted to protect and grow brand value, improve MAP compliance rates, control and grow online marketplace sales, and protect brand values and customer experience.
Food Delivery App Scraping
An organization wanted to be a market leader in food delivery solutions and optimize different business procedures as well as increase their business.
Store Locators Sites
The Organization is a leading provider of Locational data offering Global datasets to business world by creating custom datasets based on needs.
Mobile App Scraping from Ctrip
The Organization is a leader in hospitality and travel technology solutions, assisting to airlines, hotels, cruise lines, car rental companies, and online travel agents to optimize their business processes and maximize their business.
Python Scrapy Consulting
Our Python Scrapy Consulting Service has helped a businesses in selecting server, proxy, IPs, suggestions to data maintenance. We have delivered well-structured data according to the client’s needs without any hassle.
Price Monitoring from Ferry Sites
We have compared and done perfect analytics of booking data, ferry ticket prices, and seats availability across the world with our ticket price monitoring service for a client.
WHAT OUR CLIENT SAYS
“X-Byte has shown sheer dedication and complete professionalism in my data scraping project, which is admirable.”
Associate Professor Mr. Richard Benton
University of Illinois
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