Product Data Consulting Done Differently

From PLM and ERP to PIM, DAM, and Syndication, Your Product Data Ecosystem Matters

Product Data Is One of Your Company’s Largest Undervalued Assets

Treating Product Data as an Asset Is Critical to You Company’s Growth Strategy.

Many businesses see their product data as an expense to be managed, or an “inconvenient business function”. The growth your brand presence across channels, sites, and languages is dependent on product data, making your product data a key asset for your business.

Syndication is Difficult….. Your Product Data Plan May be Making it More Difficult.

Retailers and Marketplaces constantly change their requirements. Whether it’s an API, an Excel Spreadsheet, or a portal, your teams have to play their games to get syndication right. We know the secrets to winning the syndication game.

Product Data has Exploded in Importance over the Last Decade. Has Your Product Data Program Evolved?

From Frictionless Commerce to Syndication to Business Analytics and Intelligence, understanding not just the acquisition of Product Data, but the visibility, consistency, accuracy, and federation of that data is key to your business success.

Product Data is Not Solved By A Single System or Data Model. It Requires An Ecosystem View and an Integration Strategy.

Your PLM, ERP, DAM, and PIM need to work harmoniously to build your Product Data. Understanding your business goals, integration strategies, processes, and people is vital to recommending the right Product Data Strategy

Product Information Management

There is No Single Universal PIM

My father taught me a long time ago: Don't pound nails with a screwdriver. Some version of this lesson has been taught to every child, mostly because we were busy wrecking our fathers' tools by using them in ways that were not intended. Using the wrong tool not only does...

Business & Marketing Insights Product Information Management

Why Data Remediation Projects Fail

Why Data Remediation Projects Fail Whenever someone writes an analysis of why a product data project failed, the primary reason they give is that the tool failed to deliver on expectations. Having been in the product data space for 2 decades, I can tell you that this analysis is often...

Business & Marketing

Walmart Removes Some Self-Checkout Options

Walmart Removes Some Self-Checkout Options Due to a Billion-Dollar Problem – Theft For nearly two decades, self-checkout lanes were championed as the epitome of retail innovation, promising an expedited and convenient shopping experience for customers while simultaneously offering significant labor cost reductions for businesses. They were envisioned as a win-win,...

AI Consulting E-commerce Insights

How Intelligent Search is Reshaping Product Discovery

How Intelligent Search is Reshaping Product Discovery and the Future of PPC The landscape of online shopping is undergoing a profound transformation, driven by the rapid advancements in artificial intelligence. For many consumers, the traditional online shopping experience, characterized by rigid keyword searches and endless scrolling through potentially irrelevant results,...

Product Information Management Strategic Consulting

The Importance of Mutual Exclusivity and Data Collection Fatigue

As I stated in our last blog, "Data As An Asset > Data As An Expense", there is an investment required in data to both create and maintain that data as one of your company's most valuable assets. In product data, there are many best practices that guide businesses on...

Blog E-commerce PIM and DAM Strategic Consulting

Data As An Asset > Data As An Expense

In the modern enterprise, data is everywhere. It flows through every department, fuels every decision, and increasingly, determines market success. Yet, despite its undeniable importance, many organizations still treat data as an operational expense – a cost center to be minimized. However, data can be the biggest asset an organization...

Blog Business and Management Strategic Consulting

Why Data Ownership Matters

Data is the lifeblood of modern organizations, fueling everything from daily operations to strategic decision-making. However, the sheer volume and complexity of data often lead to a critical oversight: establishing clear data ownership. Without it, a robust data governance framework is an aspiration, not a reality. This blog post will...

Blog Business and Management Strategic Consulting

Distinguishing Symptomology from Underlying Problems: Key to Project Success

Symptomology Is A Distraction to a Problem Statement A couple of months ago, I performed a workshop for a large client where we were trying to determine how to implement a Product Information Management platform into their architecture. Their main use case was that they didn't have a central source...

E-commerce Product Information Management

The Hidden Costs of Unnecessary Attributes

The Hidden Costs of Unnecessary Attributes In the increasingly competitive landscape of e-commerce and retail, product attribute management plays a pivotal role in defining the success of product taxonomies. One of the key dilemmas that data model owners and category schema developers face is understanding when to add more to...

Blog E-commerce Insights

Product Data and Returns: Causation or Correlation?

The difference between causation and correlation is often misunderstood when applied to product returns. Did the bad product data cause the return, or did bad product data correlate to increased product returns? In a rudimentary sense, all causations involve correlation, but this post is about looking deeper into the reasons...

E-commerce Technology

AI Resolves Personalization Human Capacity Limitations

AI: The Personalization Powerhouse For years, marketers have dreamed of delivering highly personalized content tailored to each individual customer. The concept of creating unique experiences based on detailed customer personas was enticing, but the reality of manual content creation for countless variations often proved impossible. Human capacity simply couldn’t keep...

E-commerce

Why Is Product Data Syndication Such a Mess? Understanding the Need for Standardization

Introduction to Product Data Syndication In today's digital commerce landscape, product data syndication has become a critical component for manufacturers to sell their products outside of their own websites. The COVID 19 pandemic didn't create this need, but COVID did accelerate it for B2B and B2C manufacturers as we all...

E-commerce

Understanding the Difference Between Product Information Management and Product Experience Management

Introduction to PIM and PXM In today's dynamic digital commerce landscape, the management and presentation of product information have become critical to business success. This leads us to two important concepts: Product Information Management (PIM) and Product Experience Management (PXM). Both play pivotal roles in how businesses handle and display...

E-commerce

Impacts of AI Search

Impacts of AI on Search – and more specifically Product Catalog searches I have been using ChatGPT and Gemini (formerly Bard) at a continuously increasing rate over the last 18 months. I try to use at least one of them daily, which is sometimes hard to do, but I’ve realized...

Insights Product Information Management

The Truths About Data Remediation

During almost every project there comes a point where you need to cleanse your existing data to make it work with a new system. It is simply an element of how these projects work. You install or update a software package, attempt to fit your data into a new data...

E-commerce Insights

The Integral Role of Product Data in the Customer Journey

The most common use case for a Product Information Management (PIM) tool portrayed by those in the industry is all about syndicating data, whether that is to internal or external repositories. Getting data into an ecommerce platform, onto Amazon, into marketplaces, or any other sales channel is seen as the...

White Papers

Generative AI and Product Management

How Channel Managers Are Mastering Product Copy In today's dynamic e-commerce landscape, product copy plays a crucial role in driving sales and conversions. Channel managers, the bridge between brands and retailers, face the constant challenge of crafting compelling and informative product descriptions that resonate with diverse audiences across various platforms....

Insights

Comparing LLMs

AI Chatbots in the Spotlight: Comparing ChatGPT and Gemini The world of large language models (LLMs) is booming, and two names that often pop up are ChatGPT and Gemini. Both are impressive AI chatbots capable of generating human-quality text, but they cater to different needs and boast unique strengths. Let's...

Insights White Papers

Why is Data Readiness Important to AI Success?

Hint: It's Critical We have been accused in the past of hyperbole on how important data is to enterprises looking to transition to digital methodologies. Investing in data is a cultural shift that not everyone will be comfortable with, let alone buy in to as a philosophy. With the advancement...

White Papers

Mutual Exclusivity and Taxonomy

Is it possible to be too exclusive? In my time performing product taxonomy builds I've come across many different situations that challenged the concept that mutual exclusivity was absolute. Simply put, the level of detail and the specificity of the terminal nodes in the structure seemed like a maintenance nightmare...

There is No AI Without Data

AI is more than just Chatbots. While automating tasks is one of the primary use cases for AI in business today, it is also expensive to implement when your business lacks a vision for AI.

TrailBreakers works with businesses to understand the value drivers for AI, instead of just installing AI platforms that may or may not work.

Working with TrailBreakers can avoid costly AI mistakes while ensuring your business case and value statements benefit your long-term growth and business objectives.

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Product Data is our Passion

Getting your data organized takes planning. The TrailBreakers team can help you maximize your results by finding all the gaps and issues with your data before you begin your project.

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Our Experts Live and Breath Product Data

Whether it’s a Generative AI, data governance, data modelling, product data, product taxonomy, or overarching strategy project, TrailBreakers.AI brings the experience, tools, and partnership to help your data project become a reality.