Customers

Built for mid-market merchants, not enterprise warehouses

Stockorlo is designed for growing brands between $5M and $100M GMV — brands with 200 to 10,000 active SKUs, running on Shopify or BigCommerce, and tired of managing inventory from a spreadsheet.

How brands use Stockorlo

Solving real inventory challenges

Three types of brands that benefit most from SKU-level demand forecasting.

Harborfield Goods
Home & Kitchen
~$18M GMV · 1,200 active SKUs · Shopify + Amazon
Seattle, WA

The challenge

Harborfield runs a home goods line sold across Shopify DTC, Amazon, and a network of regional wholesale accounts. Their ops team managed reorders with a shared Google Sheet — which meant demand signals from three channels weren't reconciled until month-end, and seasonal buys were based on last year's sell-through with no SKU-level adjustment for trend or channel shift.

How they used Stockorlo

By connecting Shopify, Amazon Seller Central, and their NetSuite ERP to Stockorlo, Harborfield's ops team got a unified demand model across all channels at the SKU level. The replenishment queue replaced their spreadsheet-based reorder process, and purchase orders started flowing to NetSuite automatically once the team approved recommendations.

The outcome

The ops team freed up time previously spent reconciling channel data and calculating reorder quantities. Peak-season buy decisions incorporated forward demand signals rather than trailing 12-month averages. The team describes the shift as going from "reactive reordering to planned replenishment."

Vantage Outfitters
Outdoor & Sports
~$32M GMV · 3,400 active SKUs · BigCommerce + REI wholesale
Portland, OR

The challenge

Vantage sells outdoor gear across BigCommerce, Walmart Marketplace, and wholesale accounts including specialty outdoor retailers. Their catalog has strong seasonal patterns — spring launches and a Q4 gift-season peak — making demand forecasting complex. Previous tools provided category-level averages that masked under- and over-buying at the SKU level for color and size variants.

How they used Stockorlo

Stockorlo's variant-level forecasting resolved the SKU visibility gap. The Vantage team now sees demand curves by color, size, and channel — not just by base product. Lead time awareness ensures that peak-season purchase orders are timed to supplier production calendars, not calendar-based guesses. The multi-location view reconciles inventory across two 3PLs and a retail partner.

The outcome

Seasonal buying decisions shifted from retrospective analysis to forward-looking demand signals. The ops team describes the replenishment queue as "the one source of truth we can actually act on" — a notable improvement over reconciling three spreadsheets before each buying cycle.

Meridian Apparel Co.
Fashion & Apparel
~$12M GMV · 800 active SKUs · Shopify + wholesale
Los Angeles, CA

The challenge

Meridian is an apparel brand with a high SKU-count catalog — multiple styles, each in 6+ size runs. They sell on Shopify DTC and to boutique wholesale accounts. Size-run imbalances were common: selling out of popular sizes while carrying excess inventory in slow sizes, causing both lost sales and elevated end-of-season markdowns.

How they used Stockorlo

Stockorlo's variant-level forecasting surfaces demand differences across size runs, not just base product. The ops team can see which sizes are trending above the average demand curve and which are slowing — giving them input for reorder quantity decisions at the variant level before the next production run.

The outcome

The team now enters production cycles with SKU-level size-run demand data rather than applying flat percentage splits from prior season sell-through. Size-run reorder decisions are grounded in forward-looking signals rather than historical averages, reducing end-of-season excess at the variant level.

What merchants say

Straight from operations teams

"We spent two days a month reconciling channel data before we could even start the reorder calculation. Stockorlo does that automatically — the queue is ready Monday morning and we spend 20 minutes approving, not calculating."
Operations Lead at a multi-channel apparel brand, $15M GMV
"The biggest thing isn't the forecast accuracy — it's knowing that every SKU is being watched, not just the top 20. With a 1,200-SKU catalog we couldn't manually monitor all of them. Now Stockorlo surfaces the ones that need attention."
Head of Operations at a home goods DTC brand, Seattle WA
Is Stockorlo right for your brand?

You're a good fit if your brand checks these boxes

Stockorlo is purpose-built for a specific tier of e-commerce brand. Here's the profile that gets the most value from the platform:

  • 200 or more active SKUs across your catalog
  • Running on Shopify, BigCommerce, WooCommerce, or Amazon
  • Between $5M and $100M in annual GMV
  • Growing past what a spreadsheet can manage reliably
  • Dealing with seasonal peaks that require forward-looking buy decisions
  • Managing multiple channels, locations, or fulfillment partners
  • An ops team — even a team of one — that owns inventory decisions

Ready to see Stockorlo with your catalog?

We'll set up a walkthrough using your data — not a canned demo. Request early access and we'll reach out to schedule.

Request Early Access