Cycle Labs Return on Investment

Performance Testing

How Much Would a Mock Go-Live Cost?

A mock Go-Live is a costly on-site rehearsal that builds confidence in production readiness, but requires extensive coordination across IT, end users, and subject-matter experts—making it difficult to repeat or scale. This calculator estimates the typical cost of a mock Go-Live, which serves as a comparable baseline for developing a Cycle performance test.

Estimated Total Cost $65,208 across 2 mock go-live executions
Cost per Execution $25,664 Prep · Execution · Analysis
Design Phase $13,880 Planned once regardless of executions
Number of Executions
How many mock go-live rehearsals are planned?
Ideally, an organization would run only a single mock go-live. In practice, it is often necessary to run 2–3 executions to ensure that any issues surfaced with each mock go-live are resolved before production cutover.
Typical range: 1–3 executions. Adjust to match your organization's planning cycle.

Placeholder Note

The default of 2 executions is based on Cycle Labs' field experience across WMS implementation projects. It is not derived from an independent industry study. Adjust this value to match your organization's historical practice or project plan.

Phase 1 — Design
Planned once, regardless of execution count
$13,880

During this phase, a dedicated IT team and warehouse supervisor plan the high-level objectives, scope, resourcing, environment/data/integration requirements, and execution plan for the mock go-live.

Enter duration in weeks (1 week = 40 hrs). Default: 1 week.
Resource Quantity Hourly Rate Phase Cost
IT Resources Placeholder $ $12,800
Warehouse Supervisor Benchmark $ $1,080
Design Phase Total $13,880

★ Design is performed once and is not multiplied by executions.

Phase 2 — Preparation
Repeated per execution
$13,232

During this phase, an expanded IT team works with the warehouse supervisor to physically and digitally prepare the warehouse to support the mock go-live.

Enter duration in days (1 day = 8 hrs). Default: 2 days.
Resource Quantity Hourly Rate Phase Cost
IT Resources Placeholder $ $12,800
Warehouse Supervisor Benchmark $ $432
Preparation Cost (per execution) $13,232
Phase 3 — Execution
Repeated per execution
$7,096

During this phase, warehouse staff join the IT team and supervisor to perform the mock go-live as designed. Staff must be secured prior to a greenfield go-live, or scheduled during off-hours for a brownfield deployment.

Enter duration directly in hours. Default: 8 hours (1 shift).
Resource Quantity Hourly Rate Phase Cost
IT Resources Placeholder $ $2,560
Warehouse Supervisor Benchmark $ $216
Warehouse Operators Benchmark $ $4,320
Execution Cost (per execution) $7,096
Phase 4 — Analysis
Repeated per execution
$5,336

During this phase, the IT team analyzes the results from the mock go-live, identifies gaps, and addresses action items before the next execution or the actual go-live cutover.

Enter duration in days (1 day = 8 hrs). Default: 1 day.
Resource Quantity Hourly Rate Phase Cost
IT Resources Placeholder $ $5,120
Warehouse Supervisor Benchmark $ $216
Analysis Cost (per execution) $5,336
Benchmarks & Sources
Independent research used to calibrate default hourly rates

Independent Research — Hourly Rate Benchmarks

Placeholder Note — IT Resources ($160/hr default)

The $160/hr rate for IT resources is a vendor-sourced estimate from Cycle Labs, intended to reflect a blended fully-loaded cost (salary + benefits + overhead) for enterprise implementation consultants or internal IT staff supporting a WMS go-live. The BLS national median for computer and mathematical occupations is approximately $55–57/hr (May 2024); the $160 rate reflects contractor premiums, overhead burden, and enterprise project economics. You should replace this with your organization's actual fully-loaded IT labor cost. If using external consultants, refer to your statement of work for billing rates.

Cost Summary
Totals update in real-time as you adjust inputs above
Design (once)
$13,880
Planned once
Per-Execution Cost
$25,664
Prep + Execution + Analysis
Executions
2
Mock go-live runs
Total Estimated Cost
$65,208
Design + (per-exec × executions)
Server Under-Sizing Risk
The cost of infrastructure that can't keep up when volume grows

This model estimates exposure in two layers. Cost per incident is the financial impact of a single under-sizing event during peak load—calculated as idle/degraded labor cost + revenue at risk + any SLA penalty. Annual exposure multiplies that incident cost by the expected number of incidents per year, derived from how many peak seasons a customer runs and how many incidents are expected per peak. The two are kept separate on purpose: peak-season count is a driver of how often an incident occurs, not of how expensive each one is.

Incident Profile
Duration and severity of a single under-sizing event
An under-sizing event rarely means a full stop. More often the system degrades—scanners lag, confirmations queue, throughput drops. Use the performance degradation slider to model partial loss: 100% represents a complete stoppage, while 40% represents workers operating at roughly 60% of normal throughput. Duration is the number of hours the degraded condition persists before capacity is restored.
How long the system is degraded before capacity is restored. Default: 4 hours.
Share of normal throughput lost during the incident. 100% = full stoppage. Default: 60%.
Warehouse Downtime — Wasted Labor
Wages paid to idle or under-productive staff during the incident
$2,033

When the system can't keep up, workers are still on the clock but can't fulfill orders at normal rate. The wasted-wage cost is headcount × loaded hourly wage × incident hours × degradation%. This is where stagnant workers and wasted wages are captured—scaled by the degradation factor so it reflects reduced throughput, not only full stoppage.

ResourceQuantityHourly RateWasted Cost
Warehouse Operators Benchmark $ $1,824
Warehouse Supervisors Benchmark $ $209
Wasted Labor (per incident) $2,033

Scaled by degradation %: at 60% degradation, 60% of these wages are treated as wasted.

Revenue at Risk — Delayed Orders
Order value that can't leave the warehouse during the incident
$30,000

If orders can't ship, revenue can't be realized. The exposure is revenue throughput per hour × incident hours × degradation%. Not all of that is lost forever—some orders simply ship late and are still collected. Use the permanently lost % input to separate revenue that is truly forfeited (cancellations, missed delivery windows, lost customers) from revenue that is merely deferred. Only the permanently-lost portion is counted in the incident cost; the deferred portion is shown for context but excluded from the total.

Value of orders normally shipped per hour during peak. Replace with your own figure.
Share of delayed revenue that is forfeited vs. merely shipped late. Default: 25%.
Revenue exposed during incident $120,000
Permanently lost (counted in incident cost) $30,000

Deferred (recovered later, not counted): $90,000

SLA Penalties
Contractual fines for missing service-level commitments
$3,600

Missing delivery SLAs during an incident can trigger contractual penalties. Choose the penalty structure your agreements use. % of order value applies a percentage to the affected order value; per-order charges a flat fee for each late order; per-hour charges for each hour out of compliance; flat fee is a single fixed penalty per incident.

Select the structure used in your retailer or 3PL agreements.
Retail chargebacks typically run 1%–5% of invoice value. Default 3% (see benchmark below).
SLA Penalty (per incident) $3,600
Annualizing the Risk — Peak Seasons
From cost-per-incident to expected annual exposure
2 incidents/yr

Peak-season count drives how often an incident is likely, not how costly each one is. Expected incidents per year = peak seasons × incidents per peak. A note on the modeling assumption: this assumes each peak carries similar under-sizing risk. In reality, if a server is provisioned for the largest peak, smaller peaks carry far less risk—so treat a high peak count as an upper bound, and tune "incidents per peak" down for peaks the system already handles comfortably.

e.g. holiday + back-to-school. Default: 2.
Probability-weighted count of under-sizing events per peak. Default: 1.
Expected incidents per year 2
Benchmarks & Sources
Independent research used to calibrate defaults

Independent Research Benchmarks

  • Warehouse operator wage ($19/hr default): The U.S. Bureau of Labor Statistics OEWS program reports a national mean hourly wage of $19.12 for Laborers and Freight, Stock, and Material Movers, Hand (SOC 53-7062). Within the Warehousing & Storage industry specifically, the mean is lower (~$16–17/hr); $19/hr reflects the all-industry national mean. This is an unburdened wage—add benefits/overhead (typically 25–40%) for fully-loaded cost. Source: U.S. Bureau of Labor Statistics — OEWS 53-7062, National estimates (May 2023)
  • Warehouse supervisor wage ($29/hr default): The same survey reports a mean hourly wage of approximately $29 for First-Line Supervisors of Transportation and Material Moving Workers (SOC 53-1047). Verify against the current BLS release for your region before publishing. Source: U.S. Bureau of Labor Statistics — Hand Laborers and Material Movers, Occupational Outlook Handbook
  • SLA penalty rate (3% default; 1%–5% range): Retail vendor-compliance chargebacks for late or incomplete shipments commonly run 1%–5% of invoice/cost-of-goods value. Walmart's On-Time In-Full (OTIF) program assesses 3% of the cost of goods on non-compliant shipments. This is an industry-standard figure reported across multiple logistics sources rather than a single peer-reviewed study; confirm the exact rate in your own retailer routing guides. Source: Weber Logistics — How Retail Chargebacks Work (cites Walmart OTIF 3% of item value; 1%–5% range)

Placeholder Notes — Vendor-Sourced & Customer-Specific Inputs

Incident duration, performance degradation, revenue throughput, permanently-lost %, peak seasons, and incidents-per-peak are placeholders. They are highly specific to each customer's operation and volume profile, and reliable independent benchmarks for "cost of an under-sized server per hour" do not exist at the quality bar required here—published downtime-cost figures (e.g. "$X per hour") circulate widely but trace back to vendor-commissioned surveys quoted second-hand, so they are intentionally not used as benchmarks. Replace these with figures from your own operational data, WMS reporting, and customer contracts. The defaults are illustrative starting points only.

Under-Sizing Cost Summary
Totals update in real-time as you adjust inputs above
Wasted Labor
$2,033
Per incident
Revenue Lost
$30,000
Permanently, per incident
SLA Penalty
$3,600
Per incident
Cost per Incident
$35,633
Labor + revenue + SLA
Annual Exposure
$71,266
Per incident × incidents/yr