Manny AI

23/04/2026

MannyAI Bulletin #10: Case Study - How we helped a brand replace 2000-3000 emails with automated workflows -

I hope you are enjoying the start of spring. I am heavily pregnant at the moment, with a baby coming in 3 weeks, the team has been fantastic and so are the clients. Here are three updates from this month.

16/01/2026

MannyAI Bulletin #9: A Practical Guide to AI Adoption -

My bread and butter depends on selling AI tools to medium and large enterprises. Since I come from a practical manufacturing and engineering background, I'm keen on not selling snake-oil and instead supporting people to evaluate the promise of technology against the reality of implementation.

25/11/2025

MannyAI Bulletin #8: Highlights for Buyers & Suppliers From McKinsey State of Fashion 2026 -

McKinsey’s newly released State of Fashion 2026 is unusually clear this year: Tariff turbulence, rising duties, and volatile demand are forcing both brands and manufacturers to rethink bulk buying. The line that stood out most:

07/11/2025

Great connecting at the PDS Webinar — AI Tools For You -

Hi,Thank you for attending the webinar organised by the PDS Ventures team. Do you have any Qs regarding using AI for costing, supplier allocation or critical path? Please do get in touch if so!

24/10/2025

MannyAI Bulletin #7: Beyond Time & Motion Studies: How AI Makes Factory-Specific Costing Possible -

I've watched countless factories use PMTS software the same way for proto-costing: pull features, apply a blanket efficiency multiplier, hope for the best. Meanwhile, brands build target prices from those same generic standards, creating a dangerous mismatch from day one.

21/09/2025

MannyAI Bulletin #5: From Bottlenecks to AI Fixes -

As I have been visiting more factories, it is clear to me - With smaller orders becoming the norm, factories are drowning in administrative work before the first cut is made. Everything that happens before bulk cutting has become the single biggest constraint on capacity.

22/08/2025

MannyAI Bulletin #4: Will AI Agents Take Over Sourcing? -

By now you’ve probably come across the term AI agent. In the past few months, all the major AI companies (OpenAI, Anthropic, Google) have released browsing agents that can complete tasks independently. Think of a bot that reads all your emails and creates a simple to-do list for you every evening....

15/08/2025

MannyAI Bulletin #3: Future of Fashion Supply -

In recent weeks, my conversations with brand leaders have shifted. They (and me) are realising something game-changing. AI’s greatest power isn’t in creating more data - it’s in unlocking the value of the data you already have. For years, that data has sat still, digitised but dormant. Useful ...

12/08/2025

This is the actual costing diagram for a £7 Boohoo dress, manually broken down, operation by operation by an expert who knows his factory inside out and can nail the price of every seam in seconds.

But manual pricing is a craft. With rising style fragmentation, smaller orders, and pressure to quote faster, it’s now one of the biggest bottlenecks to getting orders in

🔧 Seamstream uses AI to:
Convert tech packs and sketches into standardised costing sheets
Suggest time-saving construction changes.
Instantly generate SMV and BOM breakdowns.

💡 Save hours. Standardise costing. Quote faster.
✅ Start your free trial today.

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BKMEA, BKMEA, IE, PLANNING & OPERATION (APPAREL IND.), BGMEA

07/08/2025

What does AI see and NOT see in your tech pack or image?
At Seamstream, our AI uses image reasoning to break down garment styles, estimating operation breakdowns, pattern pieces, and SMVs in seconds. This saves you loads of time in repetitive data entry

Here’s a real example 👇

✅ What the AI nailed:
Detected every major pattern piece (front, back, waistband, ankle cuffs)
Identified construction details like welt pockets and their placement
Retrieved a full operation sequence with timing — giving a 100% SMV = 16 minutes

🔍 Where it struggled:
Trims: Picked up waistband elastic and labels, but missed the drawstring — likely due to low contrast. Where the construction is unclear (e.g., guesset might be reinforced ), the AI can’t "guess" unless it is trained by us to a brands default standard.

💡 Why this matters:
Seamstream is built with a human-in-the-loop approach — you can edit, add, or correct in seconds, keeping the speed without compromising accuracy.

We’re constantly training our models to detect edge cases better — and where we see recurring blindspots, we program intelligent prompts to ask the right questions.

We’re not building black-box automation.
We’re building collaborative intelligence for factories.

Curious how it performs on your styles?

DM us — we’ll test it live.

IE, PLANNING & OPERATION (APPAREL IND.), Online Clothing Study, BGMEA, BKMEA