PIM Product Information Management (PIM) 

Managing Your Product Catalog With Unbxd PIM

When brands have huge product catalogs, product teams have to deal with enormous volumes of product data. When product data is maintained in spreadsheets or documents, manually correcting and/or updating huge volumes of data requires a lot of work. Several aspects of editing and updating product data tend to be repetitive, especially because several products in a catalog share quite a few common attributes. But when brands and ecommerce companies rely on legacy systems like spreadsheets, documents, and other content management tools, product teams are forced to make edits and…

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Unbxd PIM: Solving the collaboration challenge

Each task involved in managing product data is handled by a product team member with a particular skill set, and roles are defined accordingly. For example, a content writer drafts the product description and a designer would need to update product images. If the product team works with a freelance photographer, he/she provides the product images. Managing roles for team members, creating and assigning tasks are essential functions of product data management. Also, as we saw with imports, collaborating with external  stakeholders creates additional challenges for role and task management,…

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Product Information Management (PIM) 

Unbxd PIM: Solving the product data imports challenge

The product data management process often begins as a bunch of fields and columns in spreadsheets. This raw product data needs to be put through the wringer of a PIM tool before it can find its place on product listing pages on ecommerce sites. Take for example a global sportswear brand that makes kits for international football competitions and gets its product inventory from suppliers in Tirupur, a small industrial town in the south of India. Or a computer brand that sources storage components from Thailand, display panels from South…

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Unbxd Advancements in Entity Extraction

Given today’s vast amounts of data and user queries, making e-commerce search engines more efficient is an extremely challenging problem. In part 1 of this blog, I wrote about why e-commerce businesses must explore entity extraction as a way to increase the relevance of their search results. This follow-up blog goes into how e-commerce companies can put entity extraction and machine learning (ML) into practice, and some advancements that Unbxd brought to this area in the last year. What is entity extraction? Here’s a primer: consider the sentence, “Cindy bought two Levi’s…

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How to Leverage Entity Extraction to Make Your Ecommerce Search Engine More Intelligent

Online Shopping and Global ecommerce In 2017, US ecommerce revenue was $447B , or 36% of total retail revenue. That means that Americans buy at least one in every three items online. And the most common way most shoppers try to find what they’re looking for, not surprisingly, is search. Are ecommerce search engines doing the best that they can? However, even the top 50 grossing US ecommerce websites don’t do a great job supporting some common types of search queries, resulting in irrelevant products or zero results. For example, when…

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Unbxd launches Ranking Insights for Search and Browse

Online merchandising tools can help make life easier for merchandisers and marketers. They simplify boost and bury campaigns creation, enable pinning and slotting, and display product ranking for search queries and pages. However, the data behind why products rank the way they do hasn’t been readily available — until now. We’re excited to announce the availability of this data in Ranking Insights. What is Ranking Insights? Ranking Insights is an enhancement to the merchandising functionality of Unbxd Search and Unbxd Browse. Ranking Insights provides data behind the product ranking for…

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Industry News Machine Learning Product Discovery Technology 

Product Information Management (PIM): Food for AI?

By definition, Product Information Management or PIM is a systematic approach to organize all the data an organization has or uses about their products.  Last week I discussed how organizations have the ability to make experiences better by adding discipline through enhanced use of their Product Lifecycle Management (PLM), in this article we will discuss how using the train depot of PIM can drive more effective use of product information when machine learning or artificial intelligence gets involved. At its core, PIM systems take the data an organization has about…

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Site Search and Product Lifecycle Management

A long time ago while sitting with then Lands’ End CEO Edgar Huber I remember him saying something that stuck with me till this day, ”Joel, you can make the best website in the world, but if the product is no good it won’t matter”.  It was a magical phrase that made me look at how I envisioned my websites, and especially with apparel, completely differently.  Undoubtedly, as an e-commerce and digital marketing leader with a heritage steeped in User Experience and implementing Site Search systems it was and is…

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How Relevant is Your Site Search: 5 Elements You Can’t Afford to Ignore

Toys ’R’ Us announced earlier this month that they were closing their doors after 70 years in business, ending an era of timely Christmas bargains and birthday toy-store visit traditions. Amidst last minute scrambles for discounts, nostalgic videos of how it all began, and discussions over what’s left to salvage, the story remains the same — online beat retail yet again. We’ve heard the diatribe about innovation disrupting normalcy and changing how things are done in a hundred different contexts before. The industrial revolution made mass manufactured goods accessible and…

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