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GoSmarter AI Blog

About this Section

About this Section

The GoSmarter blog covers AI and digital transformation from a metals manufacturing perspective. Practical use cases, implementation guides, industry strategy, and plain-English takes on the tech that actually matters on the shop floor.

No fluff. No thought-leadership waffle dressed up as insight. Just practical articles written for people who run metal cutting, distribution, and processing operations.

Topics covered include mill certificate automation, rebar cutting optimisation, scrap rate reduction, EN 10204 compliance, inventory management for steel stockholders, and the practical realities of replacing spreadsheets with AI-powered workflows. The blog also covers industry news relevant to UK and European metals manufacturers — tariffs, standards changes, and technology developments that affect your margins.

Articles are written for production managers, quality managers, operations directors, and business owners in metals manufacturing. Each post focuses on a specific, solvable problem: how to reduce scrap on a saw line, how to stop losing mill certificates, how to automate the cert-to-stock link without an IT project.

For deeper, structured guides on specific topics, see the GoSmarter hub pages — pillar content covering cutting optimisation, mill cert automation, yield tracking, and more.

How to score your first AI quick wins: Social Listening

Marketing is a ripe area for Artificial Intelligence (AI) adoption, with all the data and the insights, but how do you make the jump into the AI pool when you look around and all you see is resistance? Quick win projects are an essential tool for building confidence among your team, particularly when introducing new concepts. That is why Nightingale HQ have created a guide of quick-win projects to help departments and companies ease into AI and build momentum for future, more complex projects. In this edition, we will discuss the benefits of practising social listening and how to pull it off as your first AI win.

How to score your first AI quick wins: Knowledge Worker Productivity

When you choose to introduce Artificial Intelligence (AI) in your organisation or department there can be a lot of resistance and uncertainty, which is why it is important to start small and win fast. By taking on smaller fail-proof projects, you can build up confidence among your team as they begin to see the value of the projects and stop fearing failure and resisting changes. In this project we discuss how to boost knowledge worker productivity, something employees will be able to track themselves and see the true value of. Building momentum in this way will pave the way for greater successes down the line.

Advanced AI techniques in retail that are making their jobs a breeze

Artificial Intelligence (AI) is already beginning to transform several industries, and it continues to divide opinions on whether it will transform our lives for good, for bad, or exaggerate existing divides by benefitting some and neglecting others. One of the areas where AI has been applied with extremely effective results is in retail, both online and off, and is a fine example of why AI can be simultaneously good and evil, highlighting the need for regulation.

Take the hassle out of note-taking with Otter.ai

How much time is spent taking and distributing minutes in your organisation? How often are your staff impacted by miscommunications, forgotten action points and lost meeting notes? All of these losses can be avoided when you use an AI tool to automatically generate searchable transcriptions of your meetings.

Announcing our Research Panel

We want to help more than one million businesses adopt artificial intelligence (AI) in the next five years. To do that we need your help. We're working on the world's biggest dataset on AI adoption via what we collect on our site, but qualitative data from knowledgeable people can be extremely valuable. As such we're launching our research panel to engage with people around the world.

How to score your first AI quick wins: Sales AI

Making big changes in your organisation or department such as kick-starting Artificial Intelligence (AI) can be a risky move if things don’t go to plan. Getting your team on board from the start is key to longterm success, which is why it’s so important to have an easy way in, such as one of our quick win AI projects. Not only do quick wins provide immediate value for your company or department, but they help build momentum among your team and change attitudes toward your projects. In this edition, we will discuss how to infuse your sales process with AI for ultimate results.

How to score your first AI quick wins: Accessible meetings

Artificial Intelligence (AI) can come across as a make or break move, perhaps a risky step, particularly if you don’t have disposable resources, which is why it is so important to start with some quick win projects in order to build confidence and momentum within the company. The sure success of a quick win project removes the pressure for following projects where there might be more at stake, but they also bring immediate value to your business.

Why do you need business intelligence?

How quickly could you answer the question, "How's your business doing?" if it was asked right now? How detailed would your answer be, and how confident would you be in your answer? If you were utilising business intelligence, your answer would be fast, comprehensive and accurate.

How to score your first AI quick wins: FAQ chatbots

AIFightsBack webinar Augmenting Customer Service with Chatbots 16 April at 15.00 is now over. Check out our video and slide and slide

Removing AI bias for better decision making

It is difficult to deny that humans make biased decisions. Unconsciously we all make choices that are based on prejudices and flawed associations. This bias that we introduce to our business decisions can trickle through entire organisations, from recruitment to market segmentation. AI, with its lack of consciousness, human experience and gut feelings, has the potential to remove bias from businesses, and yet all too often AI is found to exhibit the same biases - link no longer works that we do.

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