Benefits of PDF Extraction

Benefits of PDF Extraction

It is a common perception that copying text from PDF is an easy task, since the information is right in front of you. However, it is not that easy as you think. Working with PDF becomes difficult because of the flexibility provided by the PDF format. Not many people know that PDF was never an input format but only an output format. PDF was meant to offer a polished output to the documents.

PDF extraction is the process of reusing selected pages of one PDF in a different format. It is not uncommon for PDFs to contain a lot of textual information, and in order to acquire the entire text one must be able to extract the PDF in a proper manner. Extracting useful information from PDFs can be a challenge when there is a large number of PDF files. However, there are specific tools that enable better PDF extraction and right information recovery.

Companies that deal with a large number of repurposing activities, have started using automated PDF extraction software which makes the task easier to handle. The software is time efficient and easy to use. The extracted information from PDFs can be stored in word, excel, or various Graphics formats. The acquired information can be easily and quickly distributed with the teams. The output has all the relevant information and no information is lost.  

Here are some of the benefits of PDF extraction:

·  Lesser time is spent on recreating data, which results in increased productivity

·  Errors are significantly reduced

·  PDF extraction software make data repurposing tasks easy-to-handle

·  PDF extraction software have user friendly interface, which is easier to understand and saves time and efforts

Automated PDF extraction is an easy and time-saving process which is meant to enhance work productivity. PDF extraction works best for the organizations that need to repurpose information in various ways. It proves to be the precise way to acquire accurate information.

Data Normalization and Its Importance

All about Data Normalization and Its Importance

Advancement in technology and the changing work pattern within organizations has led to an increased importance for data management. Companies are building databases that are helping them collect, store, and analyze information. When it comes to bid data, another term that is widely used is data normalization. In this blog, we will understand more about data normalization and its importance.

Data normalization can be defined as the process in which data is organized in a way through which data users can easily analyze the data further. Data normalization has several applications. For instance, data normalization helps to get rid of any duplicate data. This reduces any possible redundancies which can adversely affect the data and enhances the capability of efficient data analysis.

Data normalization also helps to group the data together. The data that relates to each other is clubbed together into a single group making it easy to view the entire data at once. Sometimes the datasets have conflicting information. Data normalization helps to resolve all the data conflicts before any further analysis. By using the data normalization process, one can convert the entire data into a specific format which is simpler to read and analyze.

Now that we know about the applications of data normalization, it is time to understand the importance of data normalization.

A well-functioning database must go through the data normalization process. By why you ask? As discussed earlier, data normalization helps to get rid of all types of data defects and makes it easier for the users to analyze the data. Since the defects can occur at all times while the data is modified or updated, data normalization must be carried out regularly.

If a company does not use the data normalization process, then although the company would gather data, most of the data would be unorganized and unused. The data would take up most of the space and will not be of any benefit to the company. And since there is a lot of money invested in data collection and database designing, unused or misused data can lead to serious financial losses.

In addition to rectifying any data anomalies and faster analysis, data normalization offers several benefits to the organization:

  • Databases take up less space – Although technology advancement gives bigger data storage options, data normalization offers ways in which lesser disk space can be used for storage.

  • Enhance performance – Databases that are not unnecessarily loaded can lead to faster data analysis and increased performance.

  • Faster data upgradation and modification – Since the data anomalies are rectified, data can be easily updated and modified.

  • Data can be used to improve an organization’s performance – Company can look at the data to understand the company’s performances in different departments.

  • Can be used as a business intelligence tool – Data normalization can easily cross-examine the data coming from various sources.

Data normalization process works wonders for data scientists, business analysts, and people involved in database maintenance. It is considered to be one of the most necessary processes to be carried out by every company that deals with large data collection, storage and analysis.

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Advance Your Image Processing Knowledge

Read this to Advance Your Image Processing Knowledge

Today, automated image analysis has become an integral practice in multiple industrial and academic sectors. In order to analyze an image in detail, acquiring advanced image processing knowledge and skills can be highly useful.

Image processing as the name suggests is the process of editing images in a way to make them look more appealing and to identify the hidden details. Advanced image processing enhances the image in its best possible way. It is one of the most rapidly growing technologies used widely in medicine, forensic science, electrical engineering, and computer science domains.

Image processing can be carried out using two methods.

Analogue Image ProcessingDigital Image Processing
This method is used for hard copies such as printouts and photographs.This method is used for processing digital images with the help of computers.
Analysts use fundamental techniques of interpretation – Analog signalsAnalysts use three steps for interpretation – Pre-processing, Enhancement and Display.

Due to the increase in the usage of digital mediums like digital cameras, computers, mobiles, etc., digital image processing method is used more often as compared to analogue image processing method. In order to understand image processing in detail let us look at the following steps.

1. Acquisition – The first step is to acquire the image from the source. It also includes aspects like scaling and color conversion. Color alteration enhances the image.

2. Image enhancement – This is a subjective phase, which may or may not be applicable for every image. However, this step exposes the hidden features of the image.

3. Image restoration – This step makes the image more appealing and may or may not be applicable for every image.

4. Color image processing – It deals with full color and pseudocolor image processing

5. Wavelets and Multiresolution processing – In this step, image is presented in various degrees for better image clarity.

6. Image compression – This step deals with image size and resolution modification.

7. Morphological processing – This step deals with extracting image components that can describe the shape of the objects in the image.

8. Segmentation Procedure – Segmentation is one of the most difficult steps of image processing. This step partitions the image into its constituent parts.

9. Representation & Description – This step transforms raw data into processed data

10. Object detection and recognition – In this step, one can assign labels to the objects detected after the entire image processing is completed.

Artificial Intelligence (AI) has proved to have several applications in image processing. For example, helping doctors in interpreting X-rays and MRI images by developing computer aided diagnosis systems. This is a breakthrough in medical sciences, making diagnosis simpler and easier to manage.

Image is simply a two-dimensional signal; however, image processing focuses on the details and hidden aspects of the image, enhancing its usability. 

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The Complete Guide for Product Data Enrichment

Why do we need Product Data Enrichment?

Every website connects with its users through content, content is whatever you see on  your screen, text, static images, banners, gif  images , other graphics. Your business can reach users only through adequate content that describes your business and the product that you are making available for the user online. 

There are instances where the content on the product details page lacks useful information or the Item descriptions is deficient and suffers from inconsistencies or missing attributes like video, brochures and spec sheets.

Inadequacies with product content will result in losing customers to other competitive sites. With a large inventory of SKU’s, where do you begin? How do you make sure that every product has the adequate information that will convert into a purchase? This is where product enrichment tactics come in place.

Ways of Enrichment Product Data

Regular Product Data Information involves adding basic product details such as Care Instructions, Fit Type, Color, Size, and Price. But product enrichment presents your products in a manner that relates to the consumer’s choice and desire. 80 % of consumers are more likely than not to make a purchase from a brand that projects personalized experiences. 

Like using digital media assets, images and videos that showcase the product from different angles makes the user feel how the product would actually look like. 

Detail specification charts, product benefits, collaterals, pdf’s help customers looking for a product that meets specific requirements.

For more details, Brochures and Instructional manuals guide customers with technical details enabling customers to know more about the products making them sure of their choice.

Product Accessories that add value to the displayed goods with genuine recommendations is a value added service to the customers. A discount for large quantity of purchase is also a means of promoting your product.

Advantage of Enriched Product Content

Enriched product data is a critical element of a successful e-store. It enhances user online experience. Product data, which is the foundation of online retail that is complete and enriched makes data credible and is directly proportional to the effect on product search, conversion rate, SEO rankings, and user experience. 

  • Consumer get instantly attracted the product that matches his desire due to the right product descriptions with attractive special fonts bold, italic and underlined 
  • Digital Management tools such as audio, video and 2Dand 3D images gives a clear product feel for the customers making it easier and faster to make a purchase
  • Ensures that products meet the required business content standards  giving each product a consistent and standard look
  • Consumers are able to related to products that have precise and categorized information
  • Projection of the consistent brand  Image lets user identify with the product easily, giving your brand a personal attachment with the consumer 
  • Localization according to unique contents pertaining to a particular region for international markets
  • Customer ratings and reviews that help to keep track the progress of your e-store is essential to know where how your e-store is performing
  • Enriched data product enables marketing teams to understand consumer needs and behavior patterns better that we use in generating value driven user experiences that ultimately help in marketing campaigns
  • Taxonomy services categorizes the  products in a unique manner that leads to faster shopping and speedy purchases
  • Gathering Real World Data from Mobile Based Audience both online and offline personas that allow for in-depth marketing

63% of marketing professionals worldwide said the leading benefit of web and in-app content enrichment has increased conversion rates while 61 % assure the benefits of improved customer experience due to enriched content.

Altius Solutions for Content

Altius has created enriched product data for more than 20 years and has a competitive edge in delivering speed and accuracy.  Categorizing data, extracting relevant attribute values for each product and making sure that optimization with the right keywords for user search and for search engine optimization are part of the data enrichment process by Altius.

Globally Compliant Database

Altius data management platform comes with a large data repository with more than 30 Lakhs of items that is capable of handling huge volumes of data product information which is processed for duplication, authentication and errors within the search facility of milliseconds. We do consistent update of Data as when it changes over time. 

Gap Analysis

Data capture services like Gap Analysis help to measure progress by comparing actual performance with expected results. And this help in getting teams on the right track.  Progress is measured in terms of number of visitors to the site, no of clicks, no of purchases made etc. A survey by Namagoo found that product content influenced online shopping experience in out of six of ten listed.  

Content Gap Analysis

Content gap analysis is used to evaluate existing content on a topic. And also discover gaps that can bring down the quality of the content. Issues such as outdated material, unclear concepts, difficult to comprehend could be improved for better results. As a result, this makes your content perform better.  We use tools such as semRush for auditing the contents.

Product Data Audit

Altius performs product data audit for Text, Audio, Video, Infographics. These audits includes standardization, using multiple sources like Brochures, Catalogs, Manufacturer Websites and more; which make sure that data is authentic while eliminating duplication. Altius has a customized data audit tool called Data Analyzer. This tool helps to check the product information for consistency and accuracy.  

Real World Data

Real world data is capture of Online and offline consumer behaviors. This is to enrich consumer profiles with in-depth data on lifestyle needs. Needs such as food, travel, brand affinities, frequently used apps and more. Such rich profiling helps to build product content that is specific to targeted customers which helps to enhance user experiences.

Data transformation, Segmentation and Synchronization

Altius generates new sets of data by transforming the enriched data into a more relevant one for your business. Thus, creating segments to control the data for enrichment; and syncing enriched data to all the tools transforms data enrichment to  action.

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4 Product Content Solutions for Strategic Businesses

To demonstrate true ROI, Product Content Solution projects should be backed by a well-thought-out strategy that resonates with a company’s customers, personnel, and goals. In other words, any product content project that is going to be truly transformational will need to be aligned with greater business initiatives.

Here are four types of product content projects that support strategic business goals and that can help unite stakeholders from various different departments.

Product Taxonomy Development

Product content taxonomy creation is basically the process of determining how products will be categorized and organized.

Having a shared taxonomy is important because it gets everyone across an organization to use a common system to communicate about its products. This can help with accounting, operations, and sales — as well as coordinate between those functions.

To develop a taxonomy, a product content solutions provider will

• Audit the current database
• Look at incoming manufacturer product data classifications
• Review competitor, marketplace, and industry taxonomies
• Analyze how customers search for products

These findings will then inform a recommendation for a coherent taxonomy that will serve all the interested parties’ needs. Often, the hardest part of a taxonomy development product content project is making sure all these different stakeholder perspectives are represented — and getting them to ratify the final taxonomy.

Attribute and Content Modeling

Once a taxonomy has been created, a common schema for attribute and product information can be developed for products in each category. Essentially, this means deciding which bits of information need to be provided for each product as part of a standard product listing — e.g. name, photo, weight, dimensions, etc.

As with taxonomy development, attribute and content modelling needs to be done with the input and feedback from the various stakeholders at a company if the result is to reflect their viewpoints and garner team support for the enterprise-wide digital initiative.

Product Content Normalization & Cleansing

Creating lists of valid data values for each attribute, including abbreviations, symbols, fonts, and image and file naming conventions, helps standardize product content, making it much more useful for customers and internal reporting.

These sorts of details — such as where to put hyphens in an SKU, if pounds will be abbreviated “lbs.”, and whether or not prices should include a currency symbol — can make a huge difference when it comes to standardizing presentation and reporting.

Once decisions have been made regarding these approved product data values, all attributes associated with individual products in a database can be formatted (or “normalized”) to conform to the pre-ordained list of approved values.

The product content normalization process can include

• Merging data from various sources
• Eliminating duplicate products listings
• Removing discontinued products
• “Cleansing” all the content so it is formatted consistently (e.g., changing “&” to “and”)
• Identifying missing collateral information

Normalizing data in this way assures accuracy and supports basic online store functions such as filters and onsite search, as well as more advanced features such as suggested products and visual search.

Product Content Enrichment

If an online store is missing crucial pieces of product information — such as images, MSDS sheets, or user information — a product content enrichment project can improve the quality of individual product listings.

The benefits of product content enrichment are most tangible for customers and salespeople since studies show that customers are much more likely to buy from retailers that provide more product information.

Whereas taxonomy development and product data normalization involve making strategic decisions about how to group and arrange products among internal stakeholders, product content enrichment projects primarily comprise outbound detective work like:

• Going to manufacturers’ sites or other published sources of product information (e.g., PDF catalogs, spec sheets) to collect technical information about the products
• Accessing other sources — such as industry databases — to secure any additional available assets
• Creating enriched product titles and descriptions
• Image sizing, cropping, and improvement
• Video and graphics editing and enhancement
• Renaming digital files with keywords for SEO
• Adding product reviews and evaluations

Getting Started on Strategic Product Content Projects

Product content projects can — and should — be more than just tactical clean-up initiatives for the e-commerce or marketing teams. If handled correctly, they can benefit various departments at an organization and play a crucial role in forward-thinking business strategy.

Taxonomy

Taxonomy for Better Understanding of Data

Product Taxonomy Development for Better Data

In a world revolving around internet and everything going online, we all agree to the fact that taxonomy is the backbone of the whole classification process. It helps in sorting the categories in a proper hierarchy for a better visibility of commodities online.

Taxonomy is extensive as it plays a vital part in user’s mindset of the website and the commodities/ products on it. If not for proper classification, a website becomes more of a confusing one. For example, we are buying a phone, we expect the salesman to display the phones in meaningful categories like iOS, Android, Windows and brand wise. Similarly, when it comes to business, content stored in a website should be categorized.

Designing a functional taxonomy involves figuring the types content and mapping them with data and defining word tag characteristics. Our content management approach and search approaches would now be able to be more compelling, enabling us to find all the data that relate to a product which enhances the find-ability which in-turn will reflect on the number of visitors and website users who will turn into buyers.

Each industry or company will be more likely to develop variations based on a classification scheme. For instance, an industrial tool manufacturing company will use terms like Solar, electrical, power tools, hand tools etc. a property builder will use terms like property, tenant, shopping center etc. Developing Taxonomy will include mapping out the sorts of data/content to be categorized and catalogued.

If your online website doesn’t have much sales, it means there isn’t much recognition and does not appear on top when searched for. Time to rethink about taxonomy – if your company doesn’t have one, it is high time you approach us to provide one. We will be the answer to your visitors queries like ‘No relevant product’, ‘takes too long to find the product’, ‘Under wrong category’ etc. Take steps now and make your site user-friendly and let your products be more visible and easy to find.

e-commerce-sales

Relevance of Taxonomy and Attributes in e-Commerce Sales

Why Taxonomy and Attributes in e-Commerce Sales Important?

In the world of digital shopping, customers want to find products and their related information at lightning speed.

Having proper taxonomy and attributes is key to making this possible.

The big B2B and B2C players who are into e-commerce have paid great attention to these assets to enable the process of successfully converting a search into a sale.

How Taxonomy Works?

Taxonomy is a term used for grouping of products into different classifications or categories.

They are like departments to place your products providing easy navigation.

We have to create a well-structured hierarchy that directs the shoppers to the products easily. A top down approach is followed where the primary level is a generalized name that leads to the more specific products.

Naming conventions for the top level must include words that the customers search for incorporating the best search engine optimization (SEO) practices.

The next few levels in the taxonomy includes product specific names that lead to the end product quickly. This involves expertise and market research.

Providing Maximized Attributes

Most customers nowadays are quite tech-savvy and make comparisons with the competitor products before they make a purchase.

If the technical specifications and features are not available for the product, they might get turned away. Attributes are characteristics and specifications of a product that includes the brand, dimensions, color, material and more. We must ensure that all the relevant details pertaining to the product are provided in the site. Providing optimum attribute values in the site is extremely crucial when it comes to e-commerce.

This will make it easy for your customers to decide if the product is right for them and make a satisfied purchase.

Now, are you ready to convert your eStore visitor into a buyer?

Then, Altius Technologies can provide quality data and content for your product catalog to make this possible!!

To discuss more, kindly email us at info@altiussolution.com or visit our website at www.altiussolution.com

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4 E-Commerce Projects That Benefit from Good Product Content

A focus on product content is especially critical when undertaking transformative e-commerce projects, such as migrating e-commerce platforms, onboarding new product lines or vendors, improving onsite and/or offsite search performance, or simply building an e-commerce site in the first place.

Backed by good content, the following types of projects can promise real bottom-line improvements, rather than just deliverables:

1. New e-commerce website build
2. Platform migration
3. New products onboarding
4. Site search optimization

Below we explore how each of these e-commerce projects benefits from a focus on product content. For more information on how to make great product content, download our e-book, “The Expert’s Guide to B2B Product Content.”

Project #1: New E-Commerce Website Build

Too often, when a company decides to launch or relaunch an e-commerce site, they relegate product content considerations to a future date. This is a mistake.

Product content is more than just the “raw material” that goes onto a product detail page. Successful content management requires important decisions about what information is most valuable and how it will be organized into an appropriate product information structure. Moreover, a site that treats product data as an afterthought will suffer post-launch when it comes to SEO and onsite search (see below).

Project #2: New Products Onboarding

Once an online store has established a taxonomy and has attributes that reflect how its customers search and shop, the next big challenge is to manage incoming product information.

Rich product data may be available from manufacturers and other sources. However, these sources rarely provide all the required data for every designated attribute, image, and information requirement. Transforming the content and filling information gaps to meet the organizing principles that govern a sites’ product content is an important product content projects — as well as an ongoing task.

Project #3: E-Commerce SEO and Onsite Search Optimization

Good product content is the backbone of any site search optimization project. It benefits both rankings with offsite search engines like Google and Bing and the user experience of onsite search tools such as filters and search bars.

As far as SEO is concerned, the first and obvious benefit of taking product content seriously is having product detail pages that are optimized for the product names and the associated keywords customers use to find those products.

Second, organizing products into a taxonomy that meets customer expectations will help users quickly find what they need, producing higher engagement metrics, which will register positively with search engines as “second order influences,” according to SEO authority Moz.

Finally, having robust product information that is specific to a site and organized to avoid redundancy will avoid offsite and onsite duplicate content — two missteps that often diminish B2B e-commerce site rankings with search engines, which have been “getting better and better at kicking websites down the rankings because of duplicate content,” according to Kissmetrics.

Offsite duplicate content is usually the result of using the same content manufacturers provide to all distributors and resellers. Onsite duplicate content, on the other hand, is a byproduct of poor product content governance and “makes it difficult for Google to decide which pages should rank for a particular keyword.”

For onsite search, robust product data is required to support the two tools that customers most frequently use to locate products: filters and search bars. Filters are the direct outgrowth of a rich, hierarchical product taxonomy and attribute system. And with good content, onsite search can be engineered to respond to varying terms customers may use (e.g., “bin” vs. “tote”) to facilitate cross-selling or to cross-reference products on multiple manufacturer model numbers, UPCs, or form-fit-function criteria.

Project #4: E-Commerce Platform Migration

Historically, many B2B e-commerce stores have operated with custom-coded solutions. But with the rise of enterprise-level, out-of-the-box e-commerce platforms and technology add-ons, many are looking to migrate to gain access to state-of-the-art features and efficiencies.
A migration e-commerce project is a great opportunity to reevaluate all the information that will be moved from an old site to a new one. Moreover, organizing, consolidating, and enriching the to-be-migrated product files will inevitably support the success of a new site.

Address Product Content Early on in Your E-Commerce Projects

E-commerce projects that account for product content from the outset will be set up for success. Not doing so is equivalent to opening a brick-and-mortar store without any plan for displaying the merchandise on the shop floor. This lack of planning leads to clutter, customer misunderstandings, and inevitable lost sales.

To find out how a partner specialized in product content enhancement, organization, and refinement can help by getting involved in e-commerce projects early on, contact product content solutions experts Altius today.

Convert-your-supplier-data-into-selling-data

Convert your supplier data into selling data

Supplier data comes in from multiple sources. Some may be adequate while some may not be. I would like to share my thoughts on how you can convert them into a data that sells for you.

The base data that comes in from your suppliers are those that your team uploads as part of providing information about your product.

Visualize this!!!

You upload your product data on a constant basis and your team is busy with loads of data to upload on a weekly basis. You have done an one time upload of the product data for a specific SKU and you are doing so many of those after that.

The previous upload of the data is ignored. You don’t know what facets of the data work and what does not. You often think about why those old products do not sell well.

It goes without saying that you are dependant on the product data from our suppliers since you only sell but do not manufacture.

However, there is a variety of data that comes in from multiple manufacturers and suppliers and hence the data will be a big garage.

You need to organize the data, standardize in a format which is easily digestible by the visitors.

The data should be simplified and prioritized based on the technicality of the product. The best use of the data can be felt not only by importing the data as given to you but also in deciphering the content.

Unfortunately, the data that comes in may not be in a direct upload format but would be in the forms of MRO, Electrical and Mechanical data. The data upload team needs to be supported by a functional team to help them decipher the data to upload the right kind of data.

A good knowledge in all of these data will help in the data getting high on technical ranking.

I have seen many instances where the retailers perceive the data that comes from multiple suppliers to be perfect.

However, the word docs or the pdf docs that comes from suppliers will be unique for each category and for the company themselves. It is a lot of work when the team wants to consolidate all these data in the backend.

Remember this, you have to make the product data content easy for the customer and not for the data uploading team.

This is how you can make your data sell for you.

How can you make it happen?

Use a combination of standardization and data enrichment process. Do it in multiple styles.

With a limited budget, you can map out the supplier data, migrate the standard supplier data into one standard acceptable format.

There are cases where you may feel that your data is still not unique in-spite of standardization.

You can add 3 or 4 additional attributes and can do the gap fill. You can add more specifications from the datasheet.

You can also benchmark a few named competitors and provide all the product categories if you want your product page to be the best among all distributors, you name your benchmarking competitors and give the product categories.

How can Altius help?

We can deploy full force to study multiple research on the category and the product. Our experienced team will understand the customer behavior for those product categories, collect the necessary fields or specifications. We will then coin or rank the list of attributes based on the customer buying or filtering behavior.

Product-Data-Enrichment-Making-products-more-findable-

Product Data Enrichment – Making products more Findable

Are you wondering why the success rate in getting visitors to your website is not that proportionately repeatable in converting them into customers?

The visitors find your product page the visitors are searching for. This is a high impact purchase for their company. They begin evaluating the product for the fitment of their needs.

The visitors are not able to find enough of information about the products they are looking for. They also know that the other 100s of competitors are one click away. They leave your website for others and don’t come back.

The efforts, money and time spent on getting the right customers to your website are going waste. This is because the product does not have adequate information that the visitors are looking for.

The Solution!!!

Data Enrichment – A+ Enhanced Product Content

It is the art of ensuring that the product page is complete. It is fair that you think that my supplier is giving me the data about the product. My IT team uploads only that data and why should I invest more money to organize the data.

I am not telling you that the data from your suppliers are not adequate. I am only asking you to look at the entire process from shoes of the customers perspective instead of looking from your point of view.

The product that you would upload should have a combination of data and images. How many times have you visited a variety of online stores for the sake of a Search for Information and Evaluation of Alternatives and have gone back to a store that has impressed you to make the purchase?

Can you recollect what impressed you the most? Was its ease of navigation of the product page, the product, the images, the information, the product, The UX (filtering mechanism), the ability to reach the product within a few clicks because hit understood your selection process? There could be many more parameters which would have made you make the purchase in a store among all the others.

There could be a possibility that your website may be missing some important parameters of configuring the product information in a better way that you have n’t thought about.

How can this situation be changed?

Let us look at the purchase process from a Buyers perspective. The buyers making a low involvement purchase or a routine purchase where they know what they want to buy may not look too much at the product information.

However, this changes if the buyers are making a high involvement purchase or you have some unique products that could be a potential replacement for the existing products that your buyers are using.

It is important that you provide enough of information about the product so that you influence the buyer in considering your product seriously. It is also proven that the lack of information on the product on your website may make your customers lose faith in your ability to deliver.

Even if buyers buy these products without lack of product information, there is a good chance that your return rates will increase because they would have purchased the wrong product.

So, it is important that you have a variety of parameters about the product data and should enrich your product with these types of data so that you can influence the buyers to buy the right products for them and come back to you because you have made their decision process much simpler.