DenimNotes / Case Studies

What the supply chain
built with DenimNotes.
Three stories.

From a Scandinavian brand walking Première Vision with two buyers, to a Pakistani mill logging 63 buyer meetings at Kingpins, to a CMT factory that became the most trusted partner in its buyer's supply chain. Here's what actually happened.

Buyers & Sourcing Teams Fabric Mills & Sales Teams Garment Makers & CMT Factories
01 Buyers & Sourcing Teams

Three days of walking PV.
147 fabrics. Zero lost.

A Scandinavian contemporary brand. Two buyers on the floor. Première Vision Paris, Fall 2025 season.

The year before, their team walked Première Vision and came back with 220 business cards, 400+ iPhone photos of hang tags, and a shared WhatsApp group that devolved into "which Arvind article was the one with the blue cast?" by Thursday.

Three weeks after the show, follow-up emails were still going out. Some mills had already moved on. One supplier confirmed later that they'd pulled a hold on a minimum because they hadn't heard back in time.

"I had 200 business cards and complete amnesia. I knew we'd seen the right fabric — I just couldn't find it in my phone. The search was not 'rigid under $3.' The search was 'WhatsApp, scroll back, blue tag, maybe Tuesday.'"

— Sarah K., VP Sourcing & Product, contemporary womenswear brand

At PV Fall 2025, they used DenimNotes for the first time. Both buyers had it on their phones before landing in Paris. Day one: 47 fabrics scanned. Day two: 61. Day three: 39. Every scan logged the article number, composition, weight, and wash code — off the hang tag, in under 2 seconds, with a 12-second voice note attached to each one.

On the floor, Sarah queried her moodboard while standing at a booth: "Show me all the rigid cotton crosshatch I shortlisted today." The AI returned six results. She used the preview to decide which three were worth a formal spec request before leaving the booth.

PV
Show floor — Day 1
47 fabrics captured. 3 voice notes flagging articles for same-day follow-up. 1 PDF sample request sent from the booth.
48h
48 hours after leaving Paris
11 structured sample requests sent. All 23 mills they'd met received follow-up — with the specific articles they'd discussed, not a generic email.
+6w
Six weeks later
4 mills progressed to sampling. 2 confirmed for development. The previous year: 1 sampling conversation from the same show, started 5 weeks in.
SK
Sarah K.
VP Sourcing & Product
Contemporary womenswear brand, Scandinavia
Fabrics captured — 3 days
147
vs ~200 iPhone photos the previous year, none searchable
Sample requests sent at show
3
From the floor. Previously: zero. All follow-up happened the week after returning.
Mills followed up within 48h
23/23
Every mill they met. With specific article references. Not a bulk email.
Sampling relationships started
4
vs 1 from the previous year's PV. Two progressed to development confirmation.
02 Fabric Mills & Sales Teams

For the first time,
we could measure the show.

A Pakistani denim mill with 3 sales reps. Kingpins Amsterdam, Spring 2026. 47 articles on display.

Before DenimNotes, the mill's show debrief went like this: three reps, three different systems. One used a notebook. One used iPhone Notes. One used WhatsApp to send photos to himself. After Kingpins Amsterdam, the sales manager would spend a week trying to compile a coherent view of who was interested in what.

The result was a spreadsheet with 60+ rows, half-completed, with follow-up status that nobody updated after week two. The $28,000 show investment had no ROI measurement attached to it.

"We spent $28,000 at Kingpins. Every year. Nobody could tell me what that spend delivered. After DenimNotes, I ran a report. I knew our hit rate per article. I knew which buyers had selected our Crosshatch Selvedge 12oz four times and never converted. That conversation with R&D would not have happened otherwise."

— Imran R., National Sales Manager, denim mill, Pakistan

At Kingpins Amsterdam Spring 2026, all three reps used DenimNotes. Each logged buyer meetings in real time — articles shown, prices discussed, buyer interest level, follow-up priority. The sales manager had a live dashboard on his phone before the show had even closed.

The breakout insight: their Crosshatch Selvedge 12oz article had been selected by 11 different buyers over three shows. Six had never been followed up with structured spec sheets. Two had already sampled from a competitor.

KP
Kingpins Amsterdam — 2 days
63 buyer sessions logged across 3 reps. Unified view by end of day 1. No reconciliation spreadsheet needed.
+3d
3 days after Kingpins
Article-level follow-up sent to all 47 shortlisting buyers. Identified 3 "hot" buyers for priority samples.
S26
Season end — Spring 2026
Sampling hit rate: 31% (vs ~22% the prior 2 seasons). Crosshatch Selvedge 12oz nominated as hero article for Fall 2026 collection. R&D investment justified with data.
IR
Imran R.
National Sales Manager
Denim mill, 3 reps, 47 articles, Pakistan
Buyer sessions logged — 2 days
63
Across 3 reps. One unified view. No post-show consolidation.
Sampling hit rate — Spring 2026
31%
vs ~22% over the prior two seasons. Identified underperforming articles and stopped investing in them.
Show investment measured
$28K
For the first time, attributed to specific articles, buyers, and outcomes. ROI visible for the first time in 6 years.
Days to consolidate post-show
0
Real-time unified dashboard. Previously: 5–7 days to reconcile 3 reps' different systems.
03 Garment Makers & CMT Factories

The factory your buyer
can actually see inside.

A CMT factory in Pakistan. 31 active styles across 4 buyer brands. No single system. Development requests arriving via WhatsApp.

The development manager had a problem that nobody in the industry talked about openly. Her factory was good — skilled workers, reliable turnaround, clean production. But the incoming brief system was chaos.

Buyers sent development requests as voice messages. Tech packs arrived as photos in WhatsApp. Fabric nominations came via email, sometimes forwarded from a buyer's buyer. She had 31 active styles across 4 brands and no single view of which was at what stage.

When proto approval was overdue, nobody in the chain could see it except the person waiting for the email.

"A buyer called me in February and said, 'You're the only factory we can see inside.' I didn't know what they meant at first. Then I realised — we were the only ones who could tell them, in real time, exactly where every style was and what was blocking it. That became a reason to give us more business."

— Maya O., Development Manager, CMT factory, South Asia

After DenimNotes, incoming dev requests came through a structured brief — nominated fabric, target FOB, wash reference, delivery window. All in one place. The development team could see the full pipeline from proto to bulk for each style, and could flag blockers — overdue approvals, missing fabric confirmation, wash standard changes — before they became delivery delays.

One brand, impressed by the transparency, moved two additional styles to the factory in Q1. Another brand reduced their "check-in" calls by 60% because they could see status themselves. A fourth brand relationship started because another CMT had lost their trust on a miss — and someone recommended Maya's factory specifically because of how clearly they communicate.

MO
Maya O.
Development Manager
CMT factory, 31 active styles, 4 buyer brands
Active styles in pipeline
31
Across 4 brands. Dev Request → Proto → SMS → Fit → Bulk. All tracked. All visible to buyer on request.
Brands added after visibility
+1
New buyer brand relationship — won because of pipeline transparency, not price.
Check-in calls from buyers
−60%
Buyers could see status themselves. Less interruption, more trust.
WhatsApp as primary brief channel
Gone
Structured briefs replaced voice message chains. Nothing falls through the cracks if there's no crack to fall through.
Your supply chain, structured

Every show. Every meeting.
Every deal.

Buyers, mills, and makers use DenimNotes to capture faster, follow up smarter, and build a supply chain that doesn't lose things between floors.