What is PIM? A complete guide to product information management
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A PIM system facilitates centrally managing the product information. You can manage, enrich, and distribute product content to different sales channels. A product information management system helps in creating a compelling product experience with a 360-degree view of the content.
Sales personnel in an eCommerce company are always looking to up-sell and cross-sell their products. To facilitate their on-going communication with their customers, a PIM system will help them get instant insights on who has purchased what. In order to cross-sell and up-sell effectively, they need data about stock availability.
A PIM system prepares sales and marketing teams to make contextual approaches that have a good chance of future conversion.
E-commerce managers play a crucial role in product content creation. They are always under immense pressure to create, update, and modify product information to serve their customers better. You can enrich product data and present rich, accurate, and compelling product content, every time for better customer experience.
A PIM system not only helps in managing and refreshing the content but also in creating personalized shopping experiences.
The centralized management in the PIM system facilitates optimizing product content and syndicating accurate data to the websites. Also, dashboard analytics helps marketers run sentiment analysis on the kind of content that induces a conversion.Based on insights, they can run very targeted campaigns.
Expand to global markets with product data that is presented in multiple languages to build loyalty and attract new buyers.
Retailers and brands need an efficient and advanced PIM system to manage a vast variety of product information. The information is acquired from different sources - suppliers, retailers, brand owners, agencies and internal teams. They are usually in large volumes, different standards and inconsistent in formats.
A PIM system helps retailers organize, normalize and enrich product content that is consistent with every channel.
Product title, descriptions, SKUs, and features
Images, documents, music, videos, and other multimedia content
Measurements, variants, specifications, and ingredients
Customer reviews, pricing information, and testimonials
Keywords, meta information, and promotional content
Often PIM (product information management) and DAM (digital asset management) are used interchangeably. While there are some similarities, PIM and DAM are different concepts. While PIM is product information management, DAM is handling of digital assets like videos, images, documents etc.
A product information management tool is an immediate need for your company when you experience one or all of the following.
When product SKUs are growing
You collect data from multiple suppliers
When you expand your sales channels
You want to achieve omnichannel experience
Difficulty in managing multiple teams
A lot of time and energy goes into manual tasks
Get a step-by-step analysis of how to evaluate the need for a PIM. Learn more
Get data scattered across spreadsheets, ERP systems, and other legacy tools to a centralized platform. This enables quick and instant access to product information, anywhere, anytime.
Bring all the teams involved in creating and utilizing product information - including product teams, marketing teams, content/category managers, and other vendors or suppliers together by creating workflows.
Create rich product experiences with accurate, complete, and contextual product information. Product data enrichment in PIM system helps in creating rich product catalogs with the help of automated content enrichment.
Make multichannel selling an easy process as PIM ensures syndication of content that is consistent with channel structure and guidelines. Product information management software helps you syndicate the right content to the right channel with ready-to-use templates.
Get products to market before your competitors as PIM can make the process of onboarding product information, introducing new products, and expanding to different channels a seamless process.
A PIM helps in creating good product experience by creating product catalogs that are rich. With the help of automated product data enrichment, it becomes easy to create contextualized content that helps to boost conversions.
With PIM software, teams involved in creating and utilizing product information - product teams, sales, marketing, content teams etc. can collaborate effectively by creating workflows. This helps in minimizing errors and eliminating redundancies.
A product content management software helps storing data from different sources - suppliers, brand owners, agencies, product teams, and marketing teams to a centralized repository that makes product data management easy.
A PIM software helps distribution of the right content to the right channel. With built-in APIs and ready-to-use templates, sellers can distribute content that is relevant and compliant with varying channel structures.
There are a ton of PIM players in the market. But, business needs are different. Depending on your unique needs, you have to choose a PIM. You must also be watchful of what utility you gain from investing in a PIM. A good product information management system will help you:
A PIM tool should help you manage product experience and not just data. Creating contextual customer experience can be achieved when a PIM helps you define overall data quality
A good PIM platform should enable ease of onboarding data, workflows, and integrations. An important aspect of successful change management is the usability and intuitiveness of the system
Product data management becomes holistic and becomes a unified infrastructure only when you are able to manage information even after syndication
A PIM gives product information performance and in-depth insights to help you understand the perception of product information by the customer and allows you in an informed overall strategic planning
Product information management system should extend a 360-degree view of products by incorporating additional data assets such as transactional, interactional, observational and analytics data to enable greater business insight
