A Premium Shirt Brand Turned Inventory Data into Purchase Orders

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The Problem

The brand sells across multiple shirt collections, each built around a distinct fabric. Linen, Egyptian cotton, performance cotton. Each collection runs across dozens of colour variants. The challenge was never selling. It was always knowing what to make next. They were constantly getting caught out. Too much stock in the wrong colours, stockouts on the bestsellers mid-season. Their buyer would manually export Shopify data, cross-reference it with Unicommerce inventory levels, and try to spot patterns. That process took an entire day and was still more gut feel than actual analysis. Returns were another blind spot. With no quick way to cross-reference which styles were coming back against what was being advertised, they were pushing budget behind collections that had return problems they hadn't spotted yet.

The Problem

How They Use Predflow

The merchandising team uses Predflow as their planning co-pilot. With Unicommerce connected alongside Shopify, they can see sell-through rates, live inventory, and size-level stock in one place without any manual exports.

"Look at the run rate of our sage and dusty rose variants in the linen half sleeve range and prepare a purchase order for replenishment for the next 30 days"
"Sales trend for all colours in our linen half sleeve collection from March 2025 to March 2026"
"Extract the latest stock for each product, last 30-day sales run rate, and current inventory by size. Flag any broken sizes."
"Which shirts have the highest and lowest return rates over the last 12 months?"

For new launches, they lean on existing collection data to make smarter calls:

"We want to launch half sleeve Egyptian cotton shirts. Based on our full sleeve Egyptian cotton sales data, which colour options should we go with?"

"Look at the run rate of our sage and dusty rose variants in the linen half sleeve range and prepare a purchase order for replenishment for the next 30 days"
"Sales trend for all colours in our linen half sleeve collection from March 2025 to March 2026"
"Extract the latest stock for each product, last 30-day sales run rate, and current inventory by size. Flag any broken sizes."
"Which shirts have the highest and lowest return rates over the last 12 months?"

For new launches, they lean on existing collection data to make smarter calls:

"We want to launch half sleeve Egyptian cotton shirts. Based on our full sleeve Egyptian cotton sales data, which colour options should we go with?"

The Results

All metrics represent approximate results. Individual outcomes will vary based on industry, ad spend, product-market fit, and connector configuration.

"We asked Predflow to map our linen half sleeve collection's run rate against inventory. Within minutes we had a purchase order recommendation that would have taken our buyer a full day to put together. And it caught two broken-size variants we'd completely missed."

Founder and CEO

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