Struggling with inconsistent, outdated, inaccurate product data leading to drop in conversions? HabileData offers product data cleansing services that ensure your product listings are clean, accurate, and optimized. Outsource ecommerce product data cleansing to transform your data to enhance customer experience and boost your sales.
Start your product data cleansing now
At HabileData we help improve your product data quality transforming incomplete and inconsistent data to improve visibility, driving quick product discoverability and boosting conversions. Whether you want to enable personalization, recommend products, enhance customer experience, improve pricing accuracy or market compliance, our high-quality product data is the answer to all your needs.
We capture product data form multiple sources, do product attribute correction and enrichment, check for data accuracy and implement consistency checks across platforms. We create product categories mapping for new as well as existing products. We ensure product data accuracy through constant product data validation and verification which is built into our system.
Ecommerce businesses benefit from our ongoing data maintenance and governance that ensures product accuracy at any point of time, increasing operational efficiency, supporting compliance and boosting scalability. Our smooth data integration between systems supports better coordination and information exchange.
With over 30 years of experience, dedicated PIM workflows, domain experts for each industry and scalable team to handle any seasonal spikes we stay committed to our values and your project goals.
In ecommerce where every click and conversion depends on accuracy, speed, algorithms and analytics, partnering with us will give you a competitive edge.
Transform your product data now →
Our comprehensive product data cleansing services that keep your catalog reliable driving online business growth.
We identify duplicate records using algorithms and fuzzy logic consolidating into a unified data that improves customer experience.
We enrich product records with additional details that helps customers make quick and correct decision.
Ensures complete addition of products in the catalog across all categories so that every product is visible.
Checks for consistency across all selling platforms and ensures consistent format driving trust and brand reputation.
Checks for data accuracy of key fields applying rule-based and automated checks enhancing reliability.
Map product to correct categories and classifications improving on-site search and navigation through filters.
Constant monitoring and audits to keep product data accurate, updated, enriched and clean resulting in reliable data.
Amazon
BigCommerce
eBay
Etsy
Flipkart
Houzz
Magento
nopCommerce
OpenCart
osCommerce
Shopify
Walmart
WooCommerce
X-Cart
Zen Cart
Accurate, updated and enriched data helps customers make a quick and correct decision. This improves add-to-cart and buying decisions. Conversions are quick and return rates minimum.
Products with accurate specifications, attributes strengthen brand credibility and make your customer experience satisfactory and builds brand perception.
Seasonal loads, sudden spikes often create a challenge where you need to hire more members hitting your resources. We can scale capacity to meet any such need.
Once you let experts handle your listing you end up with high-quality product data with less errors and minimum rework. This saves time and you also save on revenue loss.
Audit & Identify Issues
Detect gaps, duplicates, inconsistencies, and missing attributes.
Consolidate & Standardize
Merge data from all sources and apply uniform structure.
Clean, Correct & Enrich
Fix errors, fill gaps, and enrich attributes using verified sources.
Validate for Accuracy
Run automated + manual checks for completeness, compliance, and consistency.
Deliver & Maintain
Provide final formatted data and support ongoing updates.
Product data cleansing is a process where the product data is made accurate, updated and clean so that customers don’t get lost and abandon the cart. It involves many dimensions such as data deduplication, data enrichment, data verification and validation, data classification and categorization and much more. Since the product must sell across multiple channels the data has to consistent and that is also a part of product data cleansing.
It is a very important process because the success of your ecommerce business depends on accurate and clean product data.
This is an extremely important process because product information directly impacts, the way the product sells. If the product data is inaccurate and inconsistent, it creates confusion and may even misrepresent facts about the product. The customer gets dissatisfied and may never return to your store. Therefore, it is very important to build credibility and trust. And that happens only when the product data is accurate.
Outsourcing your product data cleansing to experts is a great way to keep your product data accurate and clean and at the same time it can save you time, resources and cost. First, experts know their job well and have the required expertise and resources. So, your product data stays clean and updated all the time. And secondly, service providers can scale easily and in case of any seasonal spikes they can easily upscale and take up the load. And yes, finally your product data gets transformed into clean, accurate and consistent data that improves product visibility, boosts conversions and builds customer trust.
Product data cleansing can improve data quality in multiple ways. They remove errors, validate and verify each record, standardise and format them as per the catalog requirements. Any duplicate data is identified and rectified.
Once the data becomes consistent the catalog gets easier to manage. When every single attribute is checked, verified and updated it become trustworthy and customers start believing in the store. Consistent and standardized records easily integrate with your system.
Cleansing transforms scattered or inconsistent data into a clean, accurate dataset that supports better decision-making, stronger search results, and improved customer confidence.
We have a well-set process for product data cleansing.
We begin the process with a detailed audit that brings out issues like duplicates, inaccuracy, missing attributes, inconsistency and other issues. Once the issues are identified a proper plan is made to resolve the issues in a systematic manner. All the records from different sources are collected at one place so that they can be fixed. Errors are corrected, duplicates removed, formats standardized, missing attributes added and then the data goes through quality check. Once it passes the QC, the data is delivered in the required format.
We are very passionate about data accuracy. We follow a set process that starts with setting clear data standards. We list out hoe titles should look, which attributes to add and so on. We have automated validation rules that can flag issues that needs to be fixed like incorrect format, missing fields etc. We cross check product details against manufacturer data, check for duplicates and standardize taxonomy and naming conventions.
Once we are done our data goes through multi-level quality checks before it is delivered. And yes we keep a constant check, as accuracy is never a one-time job.
Data cleansing and data enrichment work together but serve different purposes. Cleansing focuses on fixing what’s wrong-removing duplicates, correcting mistakes, standardizing formats, and ensuring consistency. It’s basically about cleaning and organizing the information you already have.
Enrichment, on the other hand, adds missing or valuable details that improve clarity and usefulness. This might include adding specifications, dimensions, materials, features, images, or compatibility details from trusted sources.
Cleansing makes your data correct; enrichment makes it complete. Together, they create product data that’s both accurate and detailed, helping customers make better decisions.
Choosing the right service provider depends on many factors. Most importantly you need to make sure what you want the service provider do for you. Once you are clear look for a provider who has expertise in the job you want to be done.
The service provider must have the expertise in handling catalogs, they should understand marketplaces and their requirement. And yes, they should have strong process for QA, automation capabilities and scalability.
Also evaluate their security practices, turnaround time, transparency, and reporting. A good provider should offer ongoing maintenance, not just a one-time cleanup.
Disclaimer: HitechDigital Solutions LLP and HabileData will never ask for money or commission to offer jobs or projects. In the event you are contacted by any person with job offer in our companies, please reach out to us at info@habiledata.com.
