Why all eCommerce merchants need Product Catalog Management?

ECommerce  trends are changing with the changing world. Every customer demands high quality, consistent product information before they purchase anything online. Thus eCommerce merchants have to meet this demand to stay ahead of their competitors. Here comes the role of catalog management.

          Product catalog management is a marketing strategy for organizing standardizing cleansing and publishing your product data for enhancing high sales of the product. A product catalog is a type of marketing broucher, that lists product details that helps buyers make a purchase decision. These details include product features, descriptions, dimensions, price, weight, color, availability, customer reviews and more.

          The best example of a product catalog is the Amazon market place, where you can get bundle of information in a single click. For example, if you want to buy a wrist watch- Amazon lists all the information that you need like it is for male or female, brand name, color of the dial, price, availability, offer/discounts, reviews and more. A product catalog is needed for both B2B and B2C domains.

Who needs Product Catalog?

Product catalogs are useful to several business users and groups such as sales reps, buyers, store and warehouse managers, field marketers, external parties such as agencies, partners.

Reasons why you need a product catalog

 #1. Help Retailers :

To overcome certain challenges like selling across multiple channels, updating products constantly, expanding product catalog, dealing with suppliers data and keeping data quality consistent. ECommerce catalog management helps merchants to build a good foundation for their business.

#2. Enhance users experience :

customers browse a product  on an online market place and may navigate to the business website for further information to help them in making a purchase decision. Here the product catalog helps the customer by providing accuracy and reliability of product information. As customer satisfaction has become the moto of today’s competitive eCommerce business. Thus eCommerce businesses must ensure consistency and accuracy of their product information across the multiple sales channels and platforms to provide a consistent customer experience.

#3. Improves conversion rate :

The main aim of product catalog management is to convert the visitors into a loyal customer. When customers have all the data that they need, they can make decision and buy the product, Thus increasing the conversion rate. A clear product catalog helps the customer during their browsing period and also helps them to buy the product of their choice.

#4. Enhance branding :

managing the entire product portfolio information is a challenging task and time consuming. Poor product categorization may leave a bad impact of your website. Thus may cause disappointments and inconvenience to the customers. As a result you may lose a potential customer of your brand. Difficulty in accessing your product data may affect the buying decision and you may lose a loyal customer. Product information documents are useful to promote a company’s brand. Using distinct colors, images, logo helps in enhancing your brand. A well organized product catalog system enables the customers to explore the products online with ease and optimized their experience.

#5.Helps in growing your business :

A good product catalog management will help in growing your business. A good product catalog allows you to support a bigger number of products; that you will be adding as per the changes and demand in the market. Excellent product catalog makes it easy for you to add more products; and push them to your sales channels without any problem.

#6. Generates sales offline :

Today, buyers research products online and make purchases offline in malls, shops, events etc; in such instances, it is important to help customers with information on their mobiles, iPads to fasten their buying process. Websites, landing pages with a clear product catalog enables customers to do research; and collect information about the product and thus making up their mind to buy the product.

#7.Omni channel experience :

managing catalog across various channels is a complex process. It is important to efficiently manage product data and maintain consistency across different channels to ensure shoppers find your product easily and have a great users experience. A proper catalog management should be built effectively to allow you to easily access product information from suppliers and publish it across different platforms. Thus catalog management allows you to maintain consistency across different channels enabling you to offer omni channel experience.

#8. Challenges :

Product catalog management is highly essential for retail brands to survive and strive in the ever changing business environment. There are certain challenges associated with their ever changing business. For instance today’s customers have shifted from desktop applications to multi-device and multi screen usage. Your product should be accessible across multiple platforms. Retailers face secondary challenge of optimizing t6heir product-catalog. Frequent updates related to the products such as changes in price, addition of new features etc, should be done at regular intervals.

Conclusion :

Efficient catalog management services help optimize time and cost in managing large volume of product data. Well presented products, appealing designs and relevant description optimizes the online store on search engine and also simplifies navigation. A well organized catalog enhance business growth.    

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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.