Morph · Features
Build precise changes. Run them safely.
Target records using connected Epos Now data, build field-level updates, simulate the full run and review its results before you choose to go live.
Simulation results readyCurrent and proposed valuesLive run is your decision
Review every matched record with its current and proposed values, then decide what happens next.
Find the right records
Target only the records you mean to.
Use connected POS information and past activity to narrow thousands of records to the exact set that needs attention.
- Products by supplier, brand or category
- Customers by purchase history or spend
- Stock by location and current quantity
- Staff by role, site or activity
- Orders by status, order value and brands
Combine POS details and past activity to narrow a large catalogue safely.
Build new values
Build new values from existing data.
Set a fixed value, copy another field, combine text or apply one controlled calculation across every matched record.
- Price = cost + margin
- Description = name + brand + SKU
- Standardise text casing and formats
- Set or clear flags and references
Use existing fields, text and calculations without preparing an import file.
Simulation results
See the evidence before you go live.
A simulation evaluates live data without changing it. Review the results to see every matched record, its current value and the value Morph proposes.
- Run the complete rule against live data
- See which records passed every filter
- Compare current and proposed field values
- Adjust, request a review or choose a live run
Review every matched record with its current and proposed values, then decide what happens next.
Manual and scheduled runs
Run once, or make it routine.
Start a checked rule when you need it, or schedule dependable maintenance around your working hours.
- Manual, hourly, daily, weekly or monthly runs
- Working-hours controls for scheduled jobs
- Run history, statuses and automatic retry detail
- Email notifications for important errors
After the rule is checked, Morph applies the same careful logic on schedule.
Controlled deletion
Clean up old data with safeguards.
Set careful filters, simulate the result and keep a complete history before old or expired data is removed.
- Redact inactive customer data
- Remove records flagged for deletion
- Clear old held transactions
- Review every match before a live run
Careful filters, simulation results and run history provide evidence around every destructive change.
Start with one change you do by hand.
Choose the closest Morph template, simulate the result and review every proposed change before going live.