Choosing ERP for Shift Workers: What to Test Before Signing

Shift workers expose ERP flaws that demos hide

Shift-based manufacturing runs on real-time data, not monthly reports. If your ERP can’t handle night-shift batch cards, missing stock counts, or approvals that stall until Monday, you’ll pay for it in overtime, scrap, and reconciliations. The problem isn’t the software itself—it’s the gaps between what vendors show in a demo and what happens when operators log in at 11pm.

This guide covers what to test during a trial, the questions that reveal weak systems, and the trade-offs most articles skip. It assumes you’ve already ruled out cloud-only solutions that won’t work offline during power cuts, and systems that require IT approval for every change.

How do you spot an ERP that can’t handle shift handover?

Shift handover isn’t just about passing a clipboard. It’s about ensuring the next team sees the same stock levels, pending approvals, and machine statuses that the outgoing shift recorded. A weak system forces operators to re-enter data, or worse, guess at discrepancies. Look for:

• The system must lock batch cards at shift end and unlock them at the start of the next shift, with no manual override needed.
• Stock counts taken at handover must auto-post to the ledger without requiring a supervisor’s signature the next morning.
• Pending approvals (e.g., quality holds, overtime requests) must carry over with timestamps, not disappear overnight.

Facteno’s dynamic approvals let you set rules like *“night-shift overtime over 2 hours needs a foreman’s OK before payroll runs”*—something most systems treat as an afterthought. Test this by simulating a handover where the outgoing shift logs a stock discrepancy, and the incoming shift must either confirm or adjust it before starting production.

What trial questions expose hidden costs?

Trials often focus on cost per user, but the real expenses come later: data migration, custom reports, and downtime when the system doesn’t match your workflow. Ask these:

• How much does it cost to import your existing batch records, and will they map cleanly to the new system’s structure?
• If you need a report that isn’t in the standard list, how many hours of development does it take, and who pays?
• What’s the process if the trial reveals a flaw that requires a code change—will it be fixed for free, or is that an extra charge?

Most vendors won’t admit that trials often uncover issues that add 20–30% to the quoted price. Facteno’s pricing is fixed for the features you test, with no surprise charges for “configuration” or “training packs.” However, if your plant uses piece-rate payroll with 12 different wage brackets, expect to pay for that customisation upfront.

How do you test real-time shift output tracking?

A demo might show pretty graphs of “planned vs. actual,” but can the system handle a scenario where:

• A loom breaks at 2am, and the night foreman needs to log the downtime before clocking off?
• The system auto-calculates scrap per shift based on actual waste bins weighed, not estimated?
• Overtime alerts trigger if a batch runs 1.5 hours late, without waiting for a supervisor to notice?

Facteno’s production module ties machine status, labour hours, and material usage to each shift. For example, if your own scrap rate is 3% (illustration: 30kg waste per 1,000kg input), the system flags shifts where waste exceeds 3.5% for investigation. Test this by running a trial batch where you deliberately over-scrap one shift—can the system isolate the cause without manual entry?

What approval chains break under shift pressure?

Approval workflows designed for daytime use fail at night. A common flaw: systems that require email confirmations or multi-level sign-offs, forcing night-shift staff to wait until Monday. Ask:

• Can approvals be set to auto-escalate after hours (e.g., “if not approved by 7am, route to the production manager”)?
• Does the system log who approved what and when, even for verbal OKs during handover?
• Can you restrict certain approvals to specific shifts (e.g., only day-shift supervisors can authorise overtime for night workers)?

Facteno’s approvals let you define rules like *“night-shift quality holds must be resolved by the day supervisor before the next batch starts”*. Test this by simulating a scenario where a night operator logs a defect, and the system forces the day team to acknowledge it before unlocking the next production run.

How do you compare ERP costs that aren’t in the quote?

ERP pricing pages list software costs, but the real expenses come from:

Facteno’s Starter plan ($149/month) covers up to 10 users and includes basic shift tracking, but if you need piece-rate payroll or multi-level approvals, you’ll move to the Growth plan ($349/month). The hidden cost? Training night-shift staff to use the system without disrupting production. Plan for at least one full shift of downtime during the trial to test this.

What happens when the ERP can’t handle shift-specific payroll?

Piece-rate and daily-wage payrolls expose ERP flaws faster than any other module. Problems include:

• Systems that round hours to the nearest quarter, costing you $500/month in unpaid overtime.
• Payroll modules that can’t handle different wage rates per shift (e.g., night workers paid 15% more).
• Reconciliation delays because timecards don’t sync with production logs.

Facteno’s payroll module ties wages to actual output per shift. For example, if your stitching line pays operators $0.80 per dozen shirts, the system calculates earnings from the number of shirts packed, not clocked hours. Test this by running a trial where you log 1,200 shirts at $0.80—does the system flag discrepancies if the payroll summary shows $950 instead of $960?

What’s the first thing to do next week?

Don’t wait for a vendor to set up your trial. Start with these steps:

1. List your top three shift-specific pain points (e.g., “night-shift scrap reports take until Wednesday,” “handover stock counts are always wrong”). These will be your trial test cases.
2. Export one month’s worth of batch cards, payroll logs, and stock counts from your current system. Use these as test data in the trial.
3. Schedule a handover simulation with the vendor: have them walk through a scenario where the night shift logs a machine breakdown, and the day shift must approve overtime before the next batch starts.
4. Ask for a sandbox environment with your own data, not a demo plant. If they won’t provide one, walk away.
5. Compare the trial’s output to your current process. If the new system doesn’t save you at least two hours per shift in manual work, it’s not the right fit.

Facteno’s live demo includes a textile plant with shift-based production—use it to test your own data before committing.

Related reading: Optimise Shift Scheduling in High-Mix Factories Using ERP Data.