If you want to reduce return rates, improve inventory management or better understand customer behaviour, Business Intelligence (BI) may have the answer. Bringing together data from across the supply chain to deliver valuable insights, this key function is increasingly becoming a competitive advantage for brands. In particular, integrating data can reveal previously hidden bottlenecks and patterns to deliver lasting improvements.
Press play on the new Beyond Threads webinar to hear from Astra Vandenbussche, Business Intelligence Manager at Bleckmann, on how BI can help brands meet their goals.
The benefits of an integrated BI function
One example of how data analysis can enhance the customer experience is returns. Better understanding the reasons behind returns is essential for reducing rates. And that’s much easier when you have a centralised BI function that can uncover the patterns that are causing a specific returns spike. It might be due to inaccurate sizing, a supplier quality issue or changing customer preferences. In many cases, the data has the answers, and once your brand has those answers, you’re empowered to act on them.
How to build a robust data infrastructure
But before you can start enhancing your customer experience through data, you need the right foundation in place: in a world of increasingly complex supply chains, getting the data you need is a major challenge. Ensuring data quality is therefore the first step on any data enablement journey, and that’s achieved through strong data governance, clear ownership of data and a culture where data quality is everyone’s responsibility. In this way, data can become a key asset on your brand’s continuous improvement journey.
Want to find out how data-driven insights can support your brand to improve the customer experience? Get in contact for a free consultation with a Bleckmann expert.
Transcript
Hello and welcome to the Beyond Thread's webinar.
This is Astra Vandenbussche and I am Global BI Manager at Bleckmann
Today, we're talking about something that is rapidly becoming one of the most important success factors in the fashion and lifestyle industry: Business Intelligence, or BI.
Now, I know what some of you may be thinking.
"Business Intelligence? That sounds technical. Is this another podcast about dashboards and reports?"
Actually, no.
Because Business Intelligence is not really about dashboards.
It's about helping to make smarter decisions, faster.
And in today's market, that can be the difference between leading the industry and falling behind.
At Bleckmann, we often talk about supply chains, customer experience, sustainability, and innovation. What connects all of those topics? Data.
The reality is that fashion and lifestyle brands have never had access to more information than they do today.
Every webshop click, every order, every return, every warehouse movement, every customer interaction generates data.
The problem isn't a lack of information.
The problem is making sense of it.
Many organizations still have data spread across different systems. One team looks at sales numbers. Another team looks at warehouse performance. Sustainability teams monitor emissions. Customer service teams analyze return reasons.
Everyone has data.
But not everyone is working from the same truth.
And that's where Business Intelligence comes in.
At Bleckmann, our vision is to create a single, trusted source of truth, ensuring that different teams work with consistent and reliable data. This enables faster decision-making and better alignment across the organization.
So what exactly is Business Intelligence?
Simply put, Business Intelligence transforms raw operational data into meaningful insights that people can act upon.
It brings together information from multiple systems, structures it, validates it, and makes it accessible.
Its purpose is simple:
Turn complexity into clarity.
Because data on its own has very little value.
Insights create value.
And actions based on those insights create results.
Let's take a practical example.
Imagine a fashion brand experiencing high return rates.
Traditionally, teams might investigate this issue separately.
Customer service collects complaints.
Operations reviews warehouse performance.
E-commerce analyzes online sales.
Each team sees part of the story.
But Business Intelligence connects the dots.
Maybe returns are concentrated around specific sizes.
Maybe a product description creates unrealistic expectations.
Maybe a certain supplier has a quality issue.
Or maybe customer behavior has changed.
BI helps uncover those patterns quickly, allowing teams to take action before a small issue becomes a costly problem.
And this applies across the entire supply chain.
Inventory management.
Order fulfillment.
Transportation.
Customer experience.
Sustainability reporting.
Every one of these areas generates signals that can help brands perform better.
The brands that learn to listen to those signals gain a competitive advantage.
In fact, we're seeing a significant shift in the role of Business Intelligence.
A few years ago, BI was often considered a support function.
Something that created reports when somebody asked for them.
Today, expectations are very different.
Organizations increasingly expect BI teams to proactively identify opportunities, risks, and trends before they become obvious. This evolution from reactive reporting toward proactive insights is central to Bleckmann's BI vision.
Because the business environment is becoming more complex.
Supply chains are becoming more global.
Consumer expectations continue to rise.
Sustainability regulations are increasing.
And the pace of change is accelerating.
Leaders can no longer afford to wait weeks for answers.
They need information now.
And they need confidence that the information is accurate.
That's why data quality has become such an important topic.
One of the biggest misconceptions about Business Intelligence is that success starts with technology.
In reality, successful BI starts with trustworthy data.
Because even the most sophisticated dashboard becomes useless if people don't trust the information behind it.
Strong data quality creates confidence.
Confidence creates adoption.
And adoption creates better decisions.
For fashion and lifestyle brands, data quality can have a direct impact on business performance. Incorrect product dimensions can increase return rates. Poor inventory data can lead to stockouts or overstock situations. Inconsistent customer data can create a fragmented customer experience.
That's why leading brands aren't just investing in Business Intelligence. They're also investing in the foundations that make BI successful: strong data governance, clear ownership of data, and a culture where data quality is everyone's responsibility.
Because better data leads to better insights, which lead to better decisions. And better decisions lead to better business outcomes
So what does success look like?
For fashion and lifestyle brands, effective Business Intelligence can help better understand customer behavior, optimize returns management, support sustainability goals, and ultimately increase profitability.
But perhaps most importantly, it helps organizations become more agile.
And agility is becoming the defining characteristic of successful brands.
The ability to spot change early.
Understand what's happening.
And respond faster than competitors.
That's the real power of Business Intelligence.
It's not about creating more reports.
It's about creating better decisions.
Because in a world where every brand has access to data, the real advantage belongs to those who can transform that data into action.
And that's why Business Intelligence is no longer just a technical capability.
It's becoming a business capability.
A strategic capability.
And increasingly, a competitive advantage.
Thank you for listening.
Again this is Astra Vandenbussche, from Bleckmann.
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Until next time.