Product Information Management
Change ten thousand products and know exactly what changed
Filtered selection, conditional operations and a record-level preview make large catalog updates safe enough to run on a Tuesday afternoon.
How it works
Preview a conditional update across cable management products
Narrow the scope, switch between overwrite and fill-if-empty, and watch the preview and approval requirement update before anything is applied.
| SKU | Before | After |
|---|---|---|
| CB-1010 | (empty) | UV stabilized |
| CB-1020 | (empty) | UV stabilized |
| CB-1031 | (empty) | UV stabilized |
4 in scope · 3 will change · 1 unchanged
Problems it solves
Where this work usually breaks down
- 01
Export, edit, re-import
Spreadsheet round-trips overwrite correct values and lose concurrent edits.
- 02
Scope you cannot see
A filter that matches more records than expected changes the wrong products.
- 03
Unapproved mass changes
Large edits bypass the review that a single-product change would require.
- 04
No way back
A mistaken update cannot be reversed without restoring a backup.
The capability
Scale without spreadsheets
Catalog teams frequently export thousands of rows to a spreadsheet, edit them and import them back. The round-trip loses context, overwrites values that were correct and leaves no record of why the change was made.
Autonera performs bulk changes in place. Users select records with saved searches or attribute filters, choose an operation such as overwrite, fill only if empty or append, and see the exact before-and-after for every affected record. Changes above a configurable size require approval, and every bulk operation is stored as one reversible change set.
Rule-based updates turn recurring bulk edits into standing rules, for example setting a hazard class whenever a battery chemistry attribute equals lithium-ion. Rules run on new and changed records and report what they touched.
Functional capabilities
What Bulk Editing & Rule-Based Updates includes
- Filtered selection
- Select records by category, brand, attribute values, completeness or saved search.
- Conditional operations
- Overwrite, fill empty values, append, clear or calculate values from other attributes.
- Record-level preview
- See before and after values for every affected record before committing.
- Approval thresholds
- Route changes above a size or sensitivity threshold for approval.
- Reversible change sets
- Store each bulk operation as one change set that can be inspected and undone.
- Standing update rules
- Apply conditional rules automatically to new and changed records.
In industrial operations
An electrical distributor normalizes UV ratings
A supplier confirmed UV stabilization across a cable tie line, but existing values were inconsistent and some records had a different, correct rating.
- Records are selected by category and brand.
- The update fills only empty values, preserving existing ratings.
- The preview shows 42 changes and 6 untouched records.
- A category manager approves the change set.
Result: Only the intended records change, and the change set is reversible and auditable.
Autonomous operations
How autonomous execution changes bulk editing & rule-based updates
Agents propose bulk corrections from detected patterns and prepare change sets that people approve.
Agents carry out
- Detect attribute patterns that warrant a bulk fix
- Build the selection and preview
- Apply approved change sets
- Re-validate affected records
People decide
- Approve large or sensitive changes
- Define standing update rules
- Undo change sets when needed
Evidence recorded
- Selection criteria
- Before and after per record
- Approver and timestamp
Related capabilities
Works alongside
Validation & Completeness
Category-specific rules, severities and completeness scores with clear explanations.
Feature guideWorkflow & Approvals
Conditional approval routing, roles, separation of duties and decision history.
Feature guideData Lineage & Audit
Trace every value from source through transformation, approval and destination.
Feature guideProduct Data Modeling
Configurable entities, typed attributes, groups and calculated values for technical products.
Capability areaProduct Information Management
See where Bulk Editing & Rule-Based Updates fits in the wider Product Information Management capability.
Buyer FAQs
Questions evaluators ask
How large can a bulk edit be?
Bulk operations are designed for catalog-scale changes. Specific volume and timing expectations are confirmed during evaluation.
Can a bulk change be undone?
Yes. Each operation is stored as a change set with previous values so it can be reversed.
Do bulk changes trigger validation?
Yes. Affected records are re-validated and readiness is recalculated.
Can approvals depend on the attribute?
Yes. Thresholds can be set by record count and by attribute sensitivity, such as price or regulated fields.
What is the difference between a bulk edit and a rule?
A bulk edit is a one-time change set. A rule applies the same logic continuously to new and changed records.
Your next step
See Bulk Editing & Rule-Based Updates on data like yours.
Bring a real file, catalog or record set. We will walk through how Autonera would handle it and where your team keeps the final say.
Book a Demo