Where Does AI Actually Fit in a Metals Distribution Business?

 Where Does AI Actually Fit in a Metals Distribution Business? 

Artificial Intelligence seems to be everywhere.

Every day there is another announcement, another product launch or another promise that AI will transform the way businesses operate. But for many metals distributors, stockholders and service centres, one question remains unanswered:

Where can AI genuinely add value?

For businesses operating in our industry, the answer is unlikely to be replacing experienced people or automating every process overnight. Instead, the greatest opportunity lies in using AI to support operational teams by improving the speed, consistency and quality of everyday decision making.

The reality is that AI is only as good as the information available to it.

Without accurate operational data, AI cannot make reliable recommendations. That is why businesses investing in modern ERP systems, reporting and operational visibility are creating the foundations that allow AI to become genuinely useful rather than simply impressive.

One area showing significant potential is Goods Inwards.

Receiving incoming material is often a manual process involving identification, verification, recording and quality checks. AI has the potential to assist warehouse teams by recognising material markings, validating information against operational systems and reducing repetitive data entry, allowing experienced staff to focus on exceptions and quality rather than routine administration.

The objective is not to replace people.

It is to help skilled teams work more efficiently, improve data accuracy and provide faster access to information throughout the business. These are practical applications that can deliver measurable operational improvements today, rather than distant promises about the future.

Blade is our mobile warehouse solution for iMetal, designed to simplify and streamline warehouse operations through barcode-enabled transactions and real-time data capture. From the outset, Blade has been developed as a platform for innovation, with a product roadmap that places AI at the heart of its future development. The AI-assisted Goods Inwards demonstration provides an early insight into that vision, showing how practical AI capabilities can be built on accurate operational data to enhance warehouse productivity, improve data quality and support faster operational decision-making.

If you're interested in how AI is beginning to be applied within the metals sector, we'd like to invite you to our forthcoming webinar.

Industry expert John Padbury will open the session by sharing practical insight from working with metals distributors and service centres across the UK, Europe and North America. Drawing on current market experience, he'll discuss how leading businesses are responding to tariffs, quotas, CBAM, supply constraints, price volatility and increasing pressure on margins.

Following John's presentation, Matthew Colley, Product Owner for Blade, will demonstrate an early proof of concept for AI-assisted Goods Inwards, showing how accurate ERP data, operational visibility and AI can work together to support faster, better-informed warehouse operations.

Whether your interest is operational efficiency, digital transformation or understanding where AI can genuinely deliver value within a metals business, this webinar will provide practical insight rather than theory.

Managing Uncertainty in the Metals Supply Chain

Free Industry Webinar

Date: Tuesday 21 July
Time: 10:00am (55 minutes)

Places are free, but registration is required.