Customer case study

How Gentle Touch Improved Shopify Inventory Reordering and Recovered 14% of Previously Lost Revenue with Supremo

A US children’s apparel retailer moved from Excel-led reorder decisions to configured reorder points and more structured PO management.

Customer-reported · not independently audited

Stockout rate
Below 20%

After three months

Previously lost revenue recovered
14%

Not total revenue growth

Saved weekly on PO management
10–12 hrs

Not per PO

In brief

Case study summary

Gentle Touch, a US children’s apparel Shopify retailer with about 3,000 SKUs, two inventory locations, and roughly 50 suppliers, previously handled inventory and manual reordering in Excel. After using Supremo to monitor stock, work with configured reorder points, identify replenishment needs, and generate purchase orders, the retailer reported stockouts below 20% after three months, recovery of 14% of revenue previously lost, and 10 to 12 hours saved weekly on PO management. These are customer-reported outcomes, not independently verified results.

At a glance

This account is about the operational change described by the retailer: replacing spreadsheet-led reorder decisions with configured thresholds and a more structured purchasing routine. It is not a controlled comparison or a claim that software alone caused the reported results.

~3,000

SKUs in the catalog

Approximate catalog size reported by the retailer.

2

Inventory locations

The reported operation spanned two locations.

~50

Suppliers

Approximate supplier count reported by the retailer.

What Gentle Touch reported

The following figures were supplied by the customer. They are approximate where indicated and have not been independently audited.

Customer-reported comparison of inventory and purchasing before and after the workflow change.
AreaBeforeCustomer-reported later workflow
Inventory managementInventory decisions and manual reordering were handled in Excel.Gentle Touch monitored inventory and used configured reorder points to identify replenishment needs.
Reorder decisionsDeciding what needed to be reordered required manual effort.Products requiring replenishment were identified against configured reorder requirements.
Purchase order preparationEach PO took approximately 1 to 2 hours to prepare and manage.POs were generated from replenishment requirements as part of a more structured purchasing routine. No after-time-per-PO figure was supplied.
Stockout rateApproximately 30% to 40%, as reported by the customer.Below 20% after three months, as reported. The definition and denominator were not supplied, so no exact reduction is calculated.
Revenue recoveryNo baseline amount or calculation details were supplied.14% of previously lost revenue reportedly recovered. This is not a 14% increase in total revenue; the calculation method was not supplied.
Weekly time savingsA weekly PO-management baseline was not supplied. The customer said each PO took approximately 1 to 2 hours.10 to 12 hours saved weekly on PO management, as reported. This is not time saved per PO; no time-tracking method was supplied.

The stockout figures are ranges and no definition or denominator was supplied. We have not calculated an exact reduction from them. See the methodology and limitations.

From manual reorder decisions to a more structured workflow

Gentle Touch described moving from Excel-led inventory decisions and manual reordering to configured reorder points, identified replenishment needs, and POs generated from those requirements. The comparison table above separates this customer-specific account from the reported outcomes; it does not imply that the retailer used every Supremo feature.

Reported sequence

From Shopify stock visibility to a structured PO workflow

These are the customer-specific activities described for this account, presented in sequence.

  1. Shopify inventory

  2. Configured reorder points

  3. Replenishment requirements

  4. Purchase order generation

  5. Structured purchasing workflow

Purchase orders were generated from replenishment requirements; the account does not establish automatic supplier ordering.

Reviewing a similar Shopify replenishment process? Check Supremo’s current product details before deciding whether it fits your workflow.

Review in the Shopify App Store

What changed operationally

The retailer described a shift in how the team surfaced and acted on replenishment needs. Instead of relying on manual Excel review for reorder decisions, it monitored inventory against configured reorder points, identified products requiring replenishment, and generated purchase orders from those requirements.

The reported time saving is specific to weekly PO management. It should not be read as an estimate for each PO or as a measured labor study. The supplied account does not explain how hours were tracked, which team members were included, or whether the workload changed during the comparison period.

For merchants evaluating a similar process, the underlying questions are practical: are reorder points configured for the products being monitored, can buyers see which items need replenishment, and does the purchasing process make review and order preparation more manageable? Gentle Touch’s account is a useful example to consider, not evidence that the same outcomes will follow for another store.

Questions and answers

Did Gentle Touch report a 14% increase in total revenue?

No. The supplied figure is a reported recovery of 14% of revenue previously lost. It is not a 14% increase in total revenue, and no revenue amount or calculation method was provided.

How much did the stockout rate improve?

The retailer reported an earlier rate of approximately 30% to 40% and a rate below 20% after three months. Because the metric definition and denominator were not provided, an exact reduction should not be calculated.

Was 10 to 12 hours saved on every PO?

No. The reported saving was 10 to 12 hours per week on PO management. Before the change, each PO reportedly took about one to two hours to prepare and manage.

Are the results independently verified?

No. The figures are customer-reported and were not independently audited. No screenshots, financial statements, or audited outcomes were supplied.

Did Gentle Touch use every Supremo feature shown in product demonstrations?

This case describes only the customer-specific activities supplied: monitoring inventory, using configured reorder points, identifying replenishment needs, generating POs based on reorder requirements, and managing purchasing more structurally. A generic product demo is not evidence of Gentle Touch usage or endorsement.

Disclosure and methodology

  • Gentle Touch approved public use of its name. No permission to use a logo was provided, so none is displayed.
  • All performance figures and operational details on this page are customer-reported and have not been independently audited or validated.
  • The stockout rate definition, calculation method, and denominator were not supplied. The approximate baseline and later reported rate are presented as stated, without calculating an exact change.
  • The reported 14% refers to recovery of revenue previously lost. No revenue amount, comparison period, or calculation method was supplied, and it is not a claim of 14% total revenue growth.
  • The 10 to 12 hours is a reported weekly saving in PO management, not a per-PO saving. No time-tracking records or labor methodology were provided.
  • No screenshots, financial statements, or audited outcomes were supplied. The provided 63-second video transcript describes a generic Supremo demonstration, not a Gentle Touch testimonial or record of customer usage.
  • Reported changes after three months do not establish that Supremo alone caused them. Other contributing factors were not assessed.

Supremo connects Shopify inventory visibility with formula-based replenishment, buyer-reviewed purchase orders, supplier workflows, receiving, and inventory control. Review product details against your own workflow before evaluating fit.

Abhishek Pandey has spent 20+ years working in supply chain and inventory management, including enterprise ERP implementations at IBM and Accenture. Read Abhishek’s author profile.

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