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Spreadsheet to Cloud MRP Implementation Effort Calculator

The software goes live in days, but the project takes weeks because of data. This calculator estimates the hours behind moving a small plant from spreadsheets to cloud MRP and turns them into elapsed time.

Your numbers

Active part numbers

parts

Bills of material to load

BOMs

Vendors plus customers

records

Work centers

centers

People to train

users

Current data quality

People on the project

people

Share of their week on the project

35 %

Your results

Total effort

438 hrs

Elapsed weeks to go live

10.4 weeks

Data cleanup and loading hours

210 hrs

Planning heuristic: about 3 min per part, 24 min per BOM, 5 min per vendor or customer, before data quality factor.

Configuration hours

54 hrs

Training hours

48 hrs

Testing and parallel run hours

79 hrs

Project management hours

47 hrs

Rule of thumb values for planning, not a quote. Real effort depends on vendor tooling, process complexity and decision speed.

Save results:

Total effort vs part count

Sweeps Active part numbers from 100 to 6000, holding your other inputs fixed.

Review my migration plan

Optional: share your counts and get a short review of scope and sequence.

Optional. The tool and every export work without this. No spam.

How to use it

Count active parts, BOMs, vendors and customers, work centers and users. Choose the honest data quality setting: that factor multiplies cleanup time. Then enter the number of people on the project and how much of their week is truly available. The result shows total hours and the elapsed weeks based on that capacity.

How the estimate is built

Data effort assumes about three minutes per part, twenty four minutes per BOM and five minutes per vendor or customer, multiplied by the quality factor. Configuration is a base of thirty hours plus three per work center. Training is four hours per user. Testing adds thirty percent of data and configuration, and project management twelve percent of the rest.

Data work is usually the largest block
BOM verification needs engineering time, not just admin
Training grows linearly with users
Parallel run with spreadsheets sits in testing hours

Reading the result

Elapsed weeks depend on team capacity, not hours alone. Three people at 35 percent of a week give about 42 project hours per week. If the answer exceeds your target date, either reduce scope, add capacity or simplify data: archive dead parts before loading. The chart shows how part count moves total effort.

Common mistakes

Plants load every part ever made, including obsolete ones, which multiplies cleanup. They also assume full time availability for staff who still run the shop. Finally they skip testing: process a real week of orders in parallel before cutting over.

Frequently Asked Questions

How long does a cloud MRP rollout usually take?

For a small plant with clean data, many projects land in roughly 6 to 16 weeks. Poor data or limited staff time can double that. Use the calculator with your own counts for a more specific range.

Should I load all my parts?

No. Load only active parts, those used in the last couple of years or in open orders. Archive the rest in the spreadsheet. This reduces cleanup and keeps planning results clean.

What takes the most time in practice?

Data: standardizing part numbers and units of measure, validating BOM quantities and confirming lead times and costs. These need people who know the product, which is why availability matters.

Are these hours a quote from a consultant?

No. They are planning heuristics to size the effort and compare options. Ask any implementation partner for their own estimate and compare the assumptions.

Netray can help script the cleanup and loading of parts, BOMs and partners, and review the plan with your team.

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