Supply Master ROI Calculator: How to Project Your Savings on a Wholesale Apparel Catalog
A "supplier integration app" is a software bill. The cost is on the App Store listing. The savings are spread across hours your team gets back, refunds you don't write, customers you don't lose, and margin you don't leak.
For most apparel stores running on a manual catalog or a thin first-generation integration, the savings are larger than the bill — usually by a factor of five to fifteen. But the savings show up in places you have to add up across the year. Without the math, the bill looks like a cost; with the math, the bill looks like a coupon.
This article gives you the math. It walks through the full ROI formula, names every input, sources every assumption, and gives you four worked examples (decorator, dropshipper, healthcare uniform retailer, corporate-merch shop). It also publishes the input schema that the future interactive ROI calculator will run on, so when the calculator ships, the inputs you're plugging into the spreadsheet today will land 1:1 in the widget.
Running example used throughout the formula and the schema sections: Northside Print Co., a six-person screen-print and embroidery shop running 200 jobs a week, multi-supplier (S&S + SanMar + Cap America), 4,500 SKUs, currently on a thin first-generation integration with weekly manual reconciliation.
Key Takeaways
- What this article shows — the full ROI formula for a Shopify supplier integration, with every input named, every assumption sourced, and four worked examples.
- Who it's for — Shopify apparel-store owners or ops leads validating the spend on Supply Master against their actual numbers.
- The bottom-line outcome — most multi-supplier apparel stores recover the annual cost of Supply Master inside the first month, primarily on hours saved + margin protected on wholesale changes.
- The first action — open your last 90 days of catalog-management timesheets (or estimate them) and plug the hours into the formula in section 2 of this article; takes under 15 minutes and produces your store-specific number.
- Honest caveat — ROI is a range, not a single number. Single-supplier stores at small SKU counts may not clear the spend on hours alone — payback then depends on margin protection on wholesale changes and on overselling cost avoided.
- Try it now — Install Supply Master free on the Shopify App Store (5.0★, top-rated for apparel-supplier integration in the U.S. and Canada).
- Want help? — Email support@comstack.com and we'll walk through your numbers with you.
Table of contents
- What ROI means here
- The formula
- Input 1 — Hours per week on catalog work
- Input 2 — Blended labor rate
- Input 3 — Annual revenue exposed to wholesale change
- Input 4 — Wholesale change events per year
- Input 5 — Lag days from supplier change to catalog update
- Input 6 — Overselling rate (orders per week affected)
- Input 7 — Average order value
- Input 8 — Repeat-customer-loss factor
- Input 9 — New-color/style time-to-market lag
- Input 10 — Annual app cost
- Worked examples
- The schema for the future widget
- Edge cases and honest gotchas
- What to do this week
- FAQ
- Try it on your store
What ROI means here
ROI in this context is the difference, over a year, between (a) the cost of running your supplier-to-Shopify catalog work the way you run it today and (b) the cost of running it on Supply Master.
The cost on the today-side has six components:
- Direct labor — owner and team hours spent on the catalog, refresh, pricing, inventory.
- Margin lost to wholesale-change lag — every day your retail is below the new wholesale, you sell at a margin you didn't intend.
- Refunds and customer-loss from overselling — refunds are the small cost; lost repeat customers are the bigger one.
- Slow new-color time-to-market — every day your store catalog lags the supplier's launch is a day you sell the back of the demand wave instead of the front.
- MAP-violation penalties — when your manual rule lands below brand minimum, the brand sometimes pulls the SKU or threatens dealer access.
- Hiring constraint — a workflow only one person can run is an opportunity cost when you want to scale or take a vacation.
The cost on the Supply-Master-side has two components:
- The app subscription.
- A small residual labor cost for setup and quarterly review.
The ROI is the difference. For most apparel stores, the difference is firmly positive. The math below walks through the magnitude.
The formula
In one line:
Annual Savings = (Hours saved × Labor rate × 52)
+ (Wholesale-change-lag savings)
+ (Overselling-cost savings)
+ (New-color-time-to-market gain)
+ (MAP-violation-risk savings)
− Annual app cost
In English, the savings = labor savings + margin protected + refund/customer-loss avoided + faster launches captured + MAP risk avoided − the bill.
Each component below has an input range, a sourced assumption, and a worked example. Numbers reflect typical multi-supplier U.S. apparel stores on Shopify.
Input 1 — Hours per week on catalog work
What it is. Total hours per week — owner + team — spent on supplier catalog management. Includes uploading CSVs, reconciling stock, updating prices, adding new colors, fixing mismatches, handling supplier-change emails, building filtered exports, etc.
Typical ranges.
| Store shape | Typical hours/week |
|---|---|
| Single-supplier, <500 SKUs, weekly refresh | 1–3 |
| Single-supplier, 500–2,000 SKUs, weekly refresh | 3–6 |
| Multi-supplier, 2,000–5,000 SKUs, weekly refresh | 6–12 |
| Multi-supplier, 5,000+ SKUs, weekly + ad-hoc | 12–25 |
Source. Comstack interviews with 50+ multi-supplier U.S. apparel stores; cross-referenced against Shopify's own retention research and ASI/PPAI industry surveys for promo-shop staffing benchmarks.
Northside Print Co. example. ~10 hours/week (owner 6 hours + ops lead 4 hours).
Input 2 — Blended labor rate
What it is. The average dollar-per-hour value of the time spent on catalog work, weighted across owner and team contributions.
Typical ranges.
| Role | Loaded hourly rate |
|---|---|
| Small apparel-store owner | $40–$75/hour (loaded) |
| Ops lead / catalog manager | $25–$40/hour (loaded) |
| Junior team member on data entry | $18–$25/hour (loaded) |
Source. U.S. Bureau of Labor Statistics — Occupational Employment and Wage Statistics for retail managers, sales workers, and data-entry roles, adjusted upward for small-business loading (benefits + opportunity cost).
Northside Print Co. example. Owner $60/hour × 6 hours + Ops lead $30/hour × 4 hours = $480/week. Blended rate = $48/hour.
Input 3 — Annual revenue exposed to wholesale change
What it is. Annual revenue from products on suppliers that move wholesale during the year. For most apparel stores, this is most of the catalog — national apparel suppliers move wholesale several times a year.
Typical ranges.
| Store shape | Typical annual revenue exposed |
|---|---|
| Small (sub-$200K/year) | All revenue |
| Mid-size ($200K–$1M/year) | All revenue |
| Larger ($1M+) | All revenue minus exclusive-MSRP brands (rare) |
Source. Public supplier pricing-update notices and dealer-side communications; Shopify benchmarks.
Northside Print Co. example. $850K/year, ~95% on suppliers that move wholesale at least twice a year. Exposed revenue = $807,500.
Input 4 — Wholesale change events per year
What it is. How many times a year your suppliers raise (or change) wholesale meaningfully across SKUs you sell.
Typical ranges. 2–6 per supplier per year. Some suppliers run a single annual price update; others adjust more often, especially when input costs (cotton, dye, shipping) move.
Source. Publicly observable across S&S, SanMar, AlphaBroder, Cap America, and other large U.S. suppliers; tracked via dealer email archives.
Northside Print Co. example. S&S 4 events/year + SanMar 3 events/year + Cap America 2 events/year = 9 events.
Input 5 — Lag days from supplier change to catalog update
What it is. How many days between the supplier's wholesale change and your store's retail update under your current process.
Typical ranges.
| Process | Typical lag |
|---|---|
| Daily manual refresh | 1–2 days |
| Weekly manual refresh | 4–7 days |
| Monthly manual refresh | 15+ days |
| Live integration (Supply Master, Liquid pricing rule) | 0–1 days |
Source. Comstack customer interviews; common-sense observation of weekly batch processes.
Northside Print Co. example. Currently weekly refresh = 5-day average lag. With Supply Master = 1-day lag.
The margin-loss math. For each event, lost margin ≈ (revenue exposed during lag days × wholesale-change percentage). Wholesale changes are usually 2–6%. Multiply by lag days as a fraction of 365.
For Northside Print Co.: $807,500 annual exposed revenue / 365 = $2,212/day. 9 events × 4 fewer lag days saved (5→1) × $2,212/day × 4% average wholesale change = $3,184/year saved on wholesale-change lag alone.
Input 6 — Overselling rate (orders per week affected)
What it is. How many orders per week your store has to refund, partial-ship, or apologize-and-substitute because of an inventory mismatch.
Typical ranges.
| Store shape | Typical oversell rate |
|---|---|
| Single-supplier, slow refresh | 0.5–2 orders/week |
| Multi-supplier, slow refresh | 1–4 orders/week |
| Multi-supplier, fast refresh + buffer | 0.1–0.3 orders/week |
Source. Shopify Help Center community threads on apparel overselling; Comstack customer interviews.
Northside Print Co. example. Currently ~2 orders/week with overselling issues. With Supply Master + multi-warehouse mapping + buffer = ~0.2 orders/week.
Input 7 — Average order value
What it is. Average revenue per order on your Shopify store.
Typical ranges. $40–$120 for apparel resellers; $80–$200 for decorators; $200–$1,200 for team-store seasonal orders; $50–$150 for promo / corporate-merch.
Source. Shopify Analytics, or industry benchmarks at the Baymard Institute.
Northside Print Co. example. $135 AOV.
Input 8 — Repeat-customer-loss factor
What it is. The expected lost lifetime value when an oversold customer doesn't come back.
Typical ranges. Repeat-customer revenue runs 3×–5× first-time-customer revenue per customer-acquired. Lost-repeat factor: assume each oversell loses 0.3 customers (some forgive; some don't), and a lost repeat customer costs roughly 2× AOV in foregone future revenue across 12 months.
Source. Shopify retention research.
Northside Print Co. example. Each oversell estimated cost = (refund $30 average) + (0.3 × 2 × $135) = $30 + $81 = ~$111. With Supply Master, oversell rate drops from 2/week to 0.2/week, saving 1.8 events × $111 × 52 weeks = $10,390/year.
Input 9 — New-color/style time-to-market lag
What it is. Days between the supplier's new-SKU launch and your Shopify store carrying the SKU.
Typical ranges.
| Process | Typical lag |
|---|---|
| Daily manual catalog refresh | 1–3 days |
| Weekly manual refresh | 4–10 days |
| Monthly manual refresh | 15–45 days |
| Live integration | 0–1 days |
Source. Supplier launch-calendar communications; Comstack customer interviews.
Northside Print Co. example. Currently 7-day average lag on new colors. Supply Master = 1 day. Estimated revenue impact: roughly 5% of seasonal-SKU revenue captured by being in front of the launch wave instead of the back. Seasonal-SKU revenue ≈ 30% of catalog → $850K × 30% × 5% = $12,750/year savings.
Input 10 — Annual app cost
What it is. Supply Master's annual subscription on the plan your store fits.
Typical ranges. Plans scale with variant count, sync volume, and supplier count. Most multi-supplier apparel stores fit a mid-tier plan. Exact numbers on the App Store listing.
Northside Print Co. example. A representative mid-tier plan for a 4,500-SKU multi-supplier store annualizes around $2,000–$4,000 (verify against current App Store listing).
Worked examples
Example 1 — Northside Print Co. (multi-supplier decorator)
| Input | Today | Supply Master |
|---|---|---|
| Hours/week | 10 | 1.5 |
| Blended rate | $48/hour | $48/hour |
| Annual labor on catalog | $24,960 | $3,744 |
| Wholesale-change-lag loss | $3,184/year | ~$0 |
| Overselling cost | $11,544/year (2 orders × $111 × 52) | $1,154/year |
| New-color-launch capture loss | $12,750/year | ~$0 |
| MAP-violation risk | $1,000/year (estimated) | ~$0 |
| Total cost today | $53,438 | $4,898 + ~$3,000 app cost = ~$7,898 |
| Annual savings | ~$45,540 |
ROI: ~12× the annual app cost. Payback period: under one month.
Example 2 — Pure dropshipper (S&S only, national)
| Input | Today | Supply Master |
|---|---|---|
| Hours/week | 4 | 0.5 |
| Blended rate | $40/hour | $40/hour |
| Annual labor on catalog | $8,320 | $1,040 |
| Wholesale-change-lag loss | $1,500/year | ~$0 |
| Overselling cost | $5,772/year (1 order × $111 × 52) | $577/year |
| New-color-launch capture loss | $6,000/year | ~$0 |
| MAP-violation risk | $0 (low-MAP catalog) | $0 |
| Total cost today | $21,592 | $1,617 + ~$1,500 app cost = ~$3,117 |
| Annual savings | ~$18,475 |
ROI: ~12× the annual app cost. Payback period: under one month.
Example 3 — Healthcare uniform retailer (single supplier, MAP-protected)
| Input | Today | Supply Master |
|---|---|---|
| Hours/week | 6 | 1 |
| Blended rate | $50/hour | $50/hour |
| Annual labor on catalog | $15,600 | $2,600 |
| Wholesale-change-lag loss | $2,000/year | ~$0 |
| Overselling cost | $2,886/year (0.5 orders × $111 × 52) | $289/year |
| New-color-launch capture loss | $0 (low-seasonality catalog) | $0 |
| MAP-violation risk | $3,500/year (high-MAP catalog) | ~$200/year |
| Total cost today | $23,986 | $3,089 + ~$2,200 app cost = ~$5,289 |
| Annual savings | ~$18,697 |
ROI: ~8× the annual app cost. Payback period: ~6 weeks.
Example 4 — Corporate-merch shop (multi-supplier, multi-program)
| Input | Today | Supply Master |
|---|---|---|
| Hours/week | 12 | 2 |
| Blended rate | $45/hour | $45/hour |
| Annual labor on catalog | $28,080 | $4,680 |
| Wholesale-change-lag loss | $2,500/year | ~$0 |
| Overselling cost | $8,658/year (1.5 orders × $111 × 52) | $866/year |
| New-color-launch capture loss | $5,000/year | ~$0 |
| MAP-violation risk | $500/year | ~$0 |
| Total cost today | $44,738 | $5,546 + ~$3,000 app cost = ~$8,546 |
| Annual savings | ~$36,192 |
ROI: ~12× the annual app cost. Payback period: under one month.
The pattern repeats. Multi-supplier stores hit 8–15× returns. Single-supplier stores hit 5–10× returns. The variance is mostly driven by overselling rate, MAP exposure, and seasonal SKU mix.
The schema for the future widget
The interactive ROI calculator on the Supply Master site will accept the inputs above and compute the same formula. The schema below defines the inputs in a structured form so a developer (or a no-code form builder) can implement the widget.
{
"version": "1.0",
"title": "Supply Master ROI Calculator",
"description": "Inputs for projecting annual savings from Supply Master against the current catalog-management process.",
"inputs": [
{
"id": "hours_per_week",
"label": "Hours per week your team currently spends on supplier catalog work",
"type": "number",
"min": 0,
"max": 60,
"step": 0.5,
"default": 6,
"help": "Owner + team hours combined. Includes CSV uploads, stock reconciliation, price updates, new-color additions, supplier-email handling."
},
{
"id": "blended_labor_rate",
"label": "Blended hourly labor rate",
"type": "currency",
"min": 15,
"max": 150,
"step": 1,
"default": 45,
"help": "Average loaded cost across the people doing catalog work. Owner-only stores: 50–75. Mixed teams: 30–50."
},
{
"id": "annual_revenue_exposed",
"label": "Annual revenue exposed to wholesale changes",
"type": "currency",
"min": 0,
"max": 100000000,
"step": 1000,
"default": 500000,
"help": "Annual revenue on suppliers that change wholesale during the year. For most apparel stores, this is the full Shopify revenue."
},
{
"id": "wholesale_change_events_per_year",
"label": "Wholesale change events per year (across all suppliers)",
"type": "number",
"min": 0,
"max": 24,
"step": 1,
"default": 6,
"help": "Sum across suppliers. National apparel suppliers typically move wholesale 2–6 times per year."
},
{
"id": "lag_days_today",
"label": "Lag days from wholesale change to catalog update (today)",
"type": "number",
"min": 0,
"max": 90,
"step": 1,
"default": 5,
"help": "Daily manual refresh: 1–2. Weekly: 4–7. Monthly: 15+."
},
{
"id": "lag_days_supply_master",
"label": "Lag days from wholesale change to catalog update (Supply Master)",
"type": "number",
"min": 0,
"max": 7,
"step": 1,
"default": 1,
"help": "Supply Master Liquid pricing re-runs on every sync, typically next-day at the latest."
},
{
"id": "wholesale_change_percentage",
"label": "Average wholesale change percentage per event",
"type": "percentage",
"min": 0,
"max": 20,
"step": 0.5,
"default": 4,
"help": "Most apparel-supplier wholesale moves are 2–6% per event."
},
{
"id": "overselling_orders_per_week_today",
"label": "Orders per week with overselling/refund issues (today)",
"type": "number",
"min": 0,
"max": 50,
"step": 0.5,
"default": 1.5,
"help": "Count refunds, partial ships, and 'we don't have it' apologies."
},
{
"id": "overselling_orders_per_week_supply_master",
"label": "Orders per week with overselling issues (Supply Master)",
"type": "number",
"min": 0,
"max": 50,
"step": 0.1,
"default": 0.2,
"help": "Typical reduction is 80–90% with multi-warehouse mapping + buffer + faster sync."
},
{
"id": "average_order_value",
"label": "Average order value",
"type": "currency",
"min": 0,
"max": 5000,
"step": 5,
"default": 100,
"help": "Apparel resellers: $40–$120. Decorators: $80–$200. Team stores: $200–$1,200."
},
{
"id": "lost_repeat_factor",
"label": "Lost-repeat-customer factor per oversell",
"type": "number",
"min": 0,
"max": 5,
"step": 0.1,
"default": 0.6,
"help": "Combines forgiveness rate (some customers forgive) and repeat-LTV multiplier (lost repeats cost ~2× AOV)."
},
{
"id": "seasonal_sku_revenue_share",
"label": "Share of revenue from seasonal SKUs",
"type": "percentage",
"min": 0,
"max": 100,
"step": 5,
"default": 30,
"help": "Roughly the percentage of catalog revenue that is on new-color/new-style launches each year."
},
{
"id": "new_color_launch_capture_lift",
"label": "Revenue lift from being live on new colors faster",
"type": "percentage",
"min": 0,
"max": 30,
"step": 1,
"default": 5,
"help": "Typical capture lift from being on the front of the launch wave instead of the back."
},
{
"id": "map_violation_risk_today",
"label": "Estimated annual MAP-violation cost (today)",
"type": "currency",
"min": 0,
"max": 50000,
"step": 100,
"default": 0,
"help": "Set to 0 if your catalog has no MAP-protected brands. $1,000–$5,000 typical for stores carrying premium brands without MAP enforcement."
},
{
"id": "annual_app_cost",
"label": "Annual Supply Master plan cost",
"type": "currency",
"min": 0,
"max": 50000,
"step": 100,
"default": 2400,
"help": "From the App Store listing, annualized. Plans scale with variant count, sync volume, and supplier count."
}
],
"outputs": [
{
"id": "annual_labor_savings",
"label": "Annual labor savings",
"formula": "(hours_per_week - hours_per_week_supply_master) × blended_labor_rate × 52"
},
{
"id": "annual_wholesale_lag_savings",
"label": "Annual wholesale-change-lag savings",
"formula": "(annual_revenue_exposed / 365) × (lag_days_today - lag_days_supply_master) × wholesale_change_events_per_year × (wholesale_change_percentage / 100)"
},
{
"id": "annual_overselling_savings",
"label": "Annual overselling cost savings",
"formula": "(overselling_orders_per_week_today - overselling_orders_per_week_supply_master) × 52 × (refund_per_event + lost_repeat_factor × average_order_value)"
},
{
"id": "annual_new_color_capture_savings",
"label": "Annual new-color time-to-market gain",
"formula": "annual_revenue_exposed × (seasonal_sku_revenue_share / 100) × (new_color_launch_capture_lift / 100)"
},
{
"id": "annual_map_savings",
"label": "Annual MAP-violation risk savings",
"formula": "map_violation_risk_today (Supply Master pricing rules can floor at MAP automatically)"
},
{
"id": "total_annual_savings",
"label": "Total annual savings",
"formula": "(annual_labor_savings + annual_wholesale_lag_savings + annual_overselling_savings + annual_new_color_capture_savings + annual_map_savings) - annual_app_cost"
},
{
"id": "roi_multiple",
"label": "ROI (savings ÷ annual app cost)",
"formula": "total_annual_savings / annual_app_cost"
},
{
"id": "payback_period_months",
"label": "Payback period in months",
"formula": "12 × annual_app_cost / total_annual_savings"
}
],
"presets": [
{
"id": "decorator_multi_supplier",
"label": "Multi-supplier decorator",
"description": "Northside Print Co. archetype: 200 jobs/week, S&S + SanMar + Cap America, 4,500 SKUs.",
"values": {
"hours_per_week": 10,
"blended_labor_rate": 48,
"annual_revenue_exposed": 800000,
"wholesale_change_events_per_year": 9,
"lag_days_today": 5,
"lag_days_supply_master": 1,
"wholesale_change_percentage": 4,
"overselling_orders_per_week_today": 2,
"overselling_orders_per_week_supply_master": 0.2,
"average_order_value": 135,
"lost_repeat_factor": 0.6,
"seasonal_sku_revenue_share": 30,
"new_color_launch_capture_lift": 5,
"map_violation_risk_today": 1000,
"annual_app_cost": 3000
}
},
{
"id": "pure_dropshipper",
"label": "Pure S&S dropshipper",
"description": "Single-supplier, national, fast-shipping promise.",
"values": {
"hours_per_week": 4,
"blended_labor_rate": 40,
"annual_revenue_exposed": 400000,
"wholesale_change_events_per_year": 4,
"lag_days_today": 5,
"lag_days_supply_master": 1,
"wholesale_change_percentage": 4,
"overselling_orders_per_week_today": 1,
"overselling_orders_per_week_supply_master": 0.1,
"average_order_value": 80,
"lost_repeat_factor": 0.6,
"seasonal_sku_revenue_share": 35,
"new_color_launch_capture_lift": 5,
"map_violation_risk_today": 0,
"annual_app_cost": 1500
}
},
{
"id": "healthcare_uniform_retailer",
"label": "Healthcare uniform retailer",
"description": "Single SanMar / scrubs supplier, MAP-protected catalog.",
"values": {
"hours_per_week": 6,
"blended_labor_rate": 50,
"annual_revenue_exposed": 600000,
"wholesale_change_events_per_year": 3,
"lag_days_today": 5,
"lag_days_supply_master": 1,
"wholesale_change_percentage": 3,
"overselling_orders_per_week_today": 0.5,
"overselling_orders_per_week_supply_master": 0.1,
"average_order_value": 120,
"lost_repeat_factor": 0.5,
"seasonal_sku_revenue_share": 5,
"new_color_launch_capture_lift": 0,
"map_violation_risk_today": 3500,
"annual_app_cost": 2200
}
},
{
"id": "corporate_merch_shop",
"label": "Corporate merch shop",
"description": "Multi-supplier, multi-program, branded items.",
"values": {
"hours_per_week": 12,
"blended_labor_rate": 45,
"annual_revenue_exposed": 1200000,
"wholesale_change_events_per_year": 8,
"lag_days_today": 5,
"lag_days_supply_master": 1,
"wholesale_change_percentage": 4,
"overselling_orders_per_week_today": 1.5,
"overselling_orders_per_week_supply_master": 0.15,
"average_order_value": 110,
"lost_repeat_factor": 0.5,
"seasonal_sku_revenue_share": 20,
"new_color_launch_capture_lift": 4,
"map_violation_risk_today": 500,
"annual_app_cost": 3000
}
}
]
}
The schema lives in this article so the math is fully transparent before the widget ships. Once the widget is live, the same inputs and presets carry through 1:1, and the article doubles as the documentation.
Edge cases and honest gotchas
A few things that make the numbers swing more than the spreadsheet shows.
Time horizons longer than a year
Most ROI math here is annual. Over three years, the labor savings and margin protection compound — but app-cost increases (plan tier upgrades) also occur as you scale. A reasonable three-year planning multiplier is roughly 2.5×–2.8× the year-one savings, accounting for plan-tier creep.
Stores with very low overselling rates today
If your manual process is unusually tight (sub-0.3 oversells/week today), the overselling-savings line item is small and the labor-savings line item is doing most of the work. ROI multiples land in the 3–6× range instead of 8–15×. Still positive — just less dramatic.
Stores with very high custom-development sunk costs
If you've already paid $15,000 for a custom Shopify-supplier-integration build, the comparison isn't "Supply Master vs. manual." It's "Supply Master vs. the maintenance cost of the custom build." That math is different — usually still in Supply Master's favor (because custom builds need maintenance), but the savings come from the maintenance differential, not the labor differential.
Stores that decorate everything
If 100% of orders are decorated in-house (you never dropship), the order-routing savings are less relevant. But the catalog, pricing, and inventory savings are still real, and decorators consistently report a meaningful Saturday-time win — usually the largest line on the worked example.
Multi-currency stores
Currency-conversion costs and FX-related margin variance aren't in the model above. Multi-currency stores should add a 5–10% buffer to the wholesale-change-lag savings to account for FX-rate moves layered on supplier wholesale moves.
MAP exposure varies a lot
Stores with no MAP-protected brands have no MAP-violation risk to save. Stores with deep MAP-protected catalogs (premium brands, licensed catalogs) can have 5–10× the typical MAP-violation cost. Verify your specific exposure with your brand reps before plugging a number in.
What to do this week
A four-step action list, doable in under two hours total.
- Today (15 minutes): Walk through the inputs and write down your store's actual numbers in the spaces above. Most owners under-count Hours per Week by half — be honest.
- Tomorrow (30 minutes): Build a simple spreadsheet (or use your accountant's template) that runs the formula on your numbers. The four worked examples above are templates you can copy and adapt.
- End of this week (15 minutes): Compare the result to the App Store listing's annual cost. If your projected savings exceed the cost by 3× or more (typical), the spend pays back inside the year.
- Next week: Start the trial. The trial will tell you in an afternoon whether the actual numbers match the projection.
If you'd rather have a Comstack engineer walk through the math with you on a call, email support@comstack.com.
FAQ
Are these numbers conservative or optimistic?
The line-item assumptions (lag days, overselling rate, wholesale change percentage, repeat-loss factor) are mid-range industry numbers. They are not the highest possible savings; they are not the lowest. A conservatively-modeled store still hits 5×–8× ROI. An aggressively-modeled store can hit 15×–20×. The worked examples here are the middle of that range.
Do the savings actually show up in the P&L?
Some of them yes, immediately (labor cost reduction, refund cost reduction, faster catalog launches). Some of them yes, indirectly (margin protection on wholesale changes shows up in gross margin; lost-repeat-customer recovery shows up in customer lifetime value). MAP-violation savings show up only when you have a MAP exposure to begin with.
What if my hours per week are lower than the typical range?
Either you're more efficient than most, or you're under-counting. Track honestly for two weeks before deciding.
What about training time and team learning curve?
Most teams are fluent in Supply Master after one session and one week of light supervision. The schema is designed so the day-2 ops lead can operate it without re-reading the docs each time. Comstack offers managed onboarding for new stores at no charge during the trial.
How do I know my actual app cost?
Visit the App Store listing for current pricing tiers. The annual app cost in the formula is monthly cost × 12.
What if my projected ROI looks low?
Common reasons: (a) you're under-counting hours/week; (b) your overselling rate is genuinely very low; (c) your catalog has no MAP exposure; (d) you have a single supplier with stable wholesale. None of these mean the migration is wrong — they just mean the savings come from labor reduction primarily, and the ROI multiple lands in the 3×–6× range instead of 8×–15×.
Can the Comstack team run the math with me?
Yes. Email support@comstack.com with your store size, supplier mix, current process description, and rough revenue. We'll come back with a worked ROI on your actual numbers. No commitment.
What's the simplest version of this for a small single-supplier store?
Annual Savings ≈ (hours saved/week × $40 × 52) + ($1,500 wholesale-lag) + (oversells/week × $100 × 52) − $1,500 app cost
For a small dropshipper saving 3 hours/week with 0.5 oversells/week, that's:
- Labor: 3 × $40 × 52 = $6,240
- Wholesale: $1,500
- Oversells: 0.5 × $100 × 52 = $2,600
- App: −$1,500
- Net: ~$8,840/year savings, or ~6× the app cost.
What does the interactive calculator look like when it ships?
The schema above is the contract. The widget renders one input per inputs entry, computes each output, shows the total annual savings prominently, and offers preset buttons for the four archetypes. Until the widget ships, this article is the calculator — copy the schema into a spreadsheet and run the formula.
Related reading
- The Real Cost of Managing a Wholesale Apparel Catalog by Hand — the problem-aware cost story this calculator quantifies; useful as the "why this matters" companion piece.
- Automate Shopify Dropship Orders Without Touching the Supplier Portal — where the dropship hours-saved come from in practice; the playbook that backs the labor-savings line in the calculator.
- Run Decorator Jobs and Dropship Orders from One Store, Without Mixing Them Up — where the decorator + hybrid hours-saved come from; the playbook that backs the hybrid-shop ROI archetype.
Try it on your store
The numbers in this article are derived from real stores. Yours might land higher or lower depending on hours, catalog mix, and supplier set — but the direction is consistent across every shape we've measured.
- Install Supply Master free on the Shopify App Store — 5.0★, top-rated for apparel-supplier integration in the U.S. and Canada.
- Or email support@comstack.com — a Comstack engineer will run the ROI on your actual numbers and walk through the install plan with you.
Comstack has been building integrations for apparel and promo suppliers since 2012. The ROI math here is the math we run with stores every week. If your projection is positive, the trial will confirm it inside an afternoon.
Pull your numbers. Run the formula. The bill is smaller than the savings — by a lot.
