43
providing more accurate and refined 
results for users. This functionality is 
an Azure, SQL-based (structured query 
language) approach, with an AI-improved 
search function looking at the part 
number, brand, and description in one 
search, providing even more results than 
ever before.
As time goes on and AI capabilities 
improve, you may see more features and 
tools appear on the Fasten.it platform 
to enhance your usage and experience    
even further.
It is good to note that these are all 
predictions and theories, and we know 
that anything can happen, but it is good to 
be prepared.
As a team at Fasten.it, we are interested 
to see how AI develops and shapes the 
fastener & fixing industry in the coming 
years, hopefully for the better, with new 
tools enhancing and assisting human 
workers rather than replacing them. 
We would love to hear your thoughts on 
artificial intelligence and how you think it 
will affect your business and the industry 
as a whole. 
Get in touch:                                                 
+44 3330 164455                                                                
info@fasten.it 
3 top tips for fastener & fixing businesses to prepare now
1
2
3
Fix your data foundation before using AI
•	
Clean product master data (DIN/ISO/ASTM links, materials, coatings, dimensions), unify 
ERP/CRM item naming, and tighten traceability (batches/heat numbers where relevant).
•	
The fastener industry itself often frames digital transformation as ‘define the problem 
first, then use data/ERP/CRM effectively’. AI only works as well as the data and 
processes behind it.
Start with one or two small AI projects where you can see results quickly
•	
Quality checking on the production line (using cameras): aim to catch more defects 
early and reduce scrap and rework.
•	
Smarter stock planning for your best-selling items: aim to cut stockouts and tie up less 
money in excess stock, while keeping delivery performance strong.
•	
Faster quoting for repeat enquiries: aim to reply quicker, win more quotes, and avoid 
pricing mistakes that hurt margin.
Put governance, security, and skills in place from day one
•	
Use a lightweight AI governance approach (risk tiers, approval steps, audit trails, vendor 
due diligence), align to a recognised framework, and train staff on AI-assisted, human-
approved workflows.
•	
Treat prompts, drawings, and customer data as sensitive: set clear rules on what can 
and can’t go into third-party tools.
Or scan the 
QR code 
with your 
mobile phone

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