Evolution of PIM to PXM

PIM to PXM: eCommerce is any business or service sold over the internet. When we look at the history of eCommerce, it started quite early in the US in 1970s. But back then the adaptability of the Internet wasn’t that much. Internet was expensive, slow, and lacked interactivity.

Many companies started selling online in the US, but the adoption was low and slow due to higher charges, speed and lack of delivery infrastructure which means it took a long time to get your product once you order it. Also, the cost of delivery was high.

In mid ’90s, the internet started picking up and people started adopting it in US. Amazon was Incorporated in 1994, and they started their eCommerce business by selling books. It later started selling more items and slowly evolved into an online marketplace.

Internet technologies also started improving and broadband technology picked up along with Web 2.0. By mid-2000’s internet adoption and usage got widely accepted across the globe. Companies not only sold the products directly to consumers online (D2C), but they also sold it to other businesses (B2B). Offline commerce had started going online, giving rise to digital commerce.

With companies selling millions of products to customers and other businesses, there was a need for applications that would help manage this data. Thus, PIM (Product Information Management) systems were born.

PIMs helped the companies to manage and govern their data. PIMs provided a single application to collect, manage, and enrich product information, create a product catalog, and distribute this information to eCommerce and distribution channels.

As the interactions on the internet grew, e-commerce sites started using a lot of multimedia and rich content to show what their product looks like. There was a need for systems that would manage these different files. Thus, came Digital Asset Management (DAM) applications which helped the companies to collect and manage their digital assets (multimedia files).

As manufacturers and distributors started selling their products across different geographies, the complexity of distributing and managing data multiplied Suppliers had to send the product to different distributors, so they had to manually segregate the data.

Some big distributors needed data in a specific format hence there was a to need to transform the data before sending it to a distributor. Similarly, the distributor had an issue with collating and transforming the data from different suppliers into a single catalog. All it required was an application to syndicate the disparate data.

While developing our application Amaze PXM, we took into all these issues which the companies faced and incorporated them in a single application where the companies can curate their data, govern it with rules and constraints and syndicate it to various platforms.

Today, just this is not enough, there is a growing need for dynamic assistance which is intelligent and will simplify the user’s work and make their output more effective.

Our inbuilt AI-bot Astro (or Amaze Intelligence) is Intelligent enough and provides suggestions to the users based on historic data. It not only reduces their work but also empowers them to enrich their product data which makes them competitive in the market resulting in higher ROI.

While the first 20 years moved information into experience, the next 20 years will be shaped by these intelligent systems which will constantly learn from behavior and trends in the data and predict various outcomes which will help managers take decisions that will result in higher profits. We at Blue Meteor are driven by this vision and are committed to provide solutions through Amaze PXM which will make life easier for our customers and help them win the digital shelf.