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1,000+ data sources. Connect to your ERP, data warehouse, email, file storage system and more.
The AI for operators
Agents that ops and finance teams actually rely on.
Describe a messy, recurring process. Parabola runs it at production scale, shows its work at each step, and stays audit-ready through every handoff.
I need to figure out why our inventory numbers keep drifting between systems. Can you pull what we have from NetSuite, the supplier's email, and SharePoint?
Done. I pulled current inventory from all three and standardized the SKU formats so they match across systems.
OK, now cross-reference them and show me where
Pull from NetSuite
Imports SKU-level NetSuite inventory by warehouse, including on-hand quantity, available quantity,…
skuwarehouse_idqty_on_handqty_availablereorder_pointas_of_date
Pull from Email
Imports the supplier's inventory spreadsheet from the weekly inbound email, including SKU, product name, on-hand quantity,…
skuproduct_nameon_handqty_availableas_of_date
Pull from SharePoint
Imports the warehouse team's inventory file from the SharePoint document library, including SKU, on-hand, allocated,…
skuwarehouseon_handallocatedas_of_date
Standardize NetSuite SKUs
•
Create a standardized SKU column for joining
Uppercases and trims "SKU". Removes the leading "R-" prefix when present.
•
Aggregate to one row per SKU
Sums "In-Stock" across all NetSuite rows for that SKU. Keeps representative product name plus a summary of colorways.
Standardize Email SKUs
•
Create a standardized SKU column for joining
Uppercases and trims the supplier's "Item #". Strips the vendor prefix when present.
•
Aggregate to one row per SKU
Sums "On Hand" across all emailed rows for that SKU. Keeps a representative product name.
Standardize SharePoint SKUs
•
Create a standardized SKU column for joining
Uppercases and trims "SKU". Removes trailing location suffixes.
•
Aggregate inventory across warehouses
Sums "on_hand" across every warehouse tab for that SKU.
Reconcile inventory by SKU
•
Join
Combines NetSuite, Email, and SharePoint inventory into one table using "SKU".
•
Compare
Adds per-source quantities, quantity deltas, and a reconciliation_status (Match / Mismatch / Missing).
•
Sort
Puts items needing attention at the top.
Filter threshold variances
•
Filter
Keeps rows where "Needs_attention" is true (Missing or variance over threshold).
•
Sort
Prioritizes missing items, then biggest percent variance.
Build discrepancy email summary
•
Summarize
Rolls the flagged SKUs into headline KPIs — total flagged, max and average variance, and largest gap units.
•
Highlight
Surfaces the lowest system across the flagged SKUs and ranks them by variance for the email body.
•
Gate
Outputs 0 rows when there are no discrepancies, so the email only sends when something needs attention.
Flagged SKU
PE-1041
PE-1098
PE-1100
PE-1030
PE-1010
PE-1087
PE-1082
PE-1054
0100200300400500600
Available quantity
Source
NetSuite
Email
SharePoint
Email discrepancy report
Inventory reconciliation
8 SKUs need attention
Filtered variance summary for SKUs that passed the threshold.
8
Flagged SKUs
16.0%
Max variance
10.0%
Avg variance
74
Largest gap units
!
Lowest source: NetSuite
NetSuite is lowest on all 8 filtered SKUs, suggesting a consistent system-side inventory lag or sync issue.
Flagged SKUs
Sorted by variance, highest first
| SKU | Product | NetSuite | SharePoint | Variance | Gap | |
|---|---|---|---|---|---|---|
| PE-1041 | Ridge Insulated Parka | 284 | 338 | 338 | 16.0% | 54 |
| PE-1098 | Horizon 2P Tent | 6 | 7 | 7 | 14.3% | 1 |
| PE-1100 | Alpine Approach Shoe | 457 | 531 | 531 | 13.9% | 74 |
| PE-1030 | Alpine Hiking Pant | 114 | 130 | 130 | 12.3% | 16 |
| PE-1010 | Alpine 4P Tent | 58 | 64 | 64 | 9.4% | 6 |
| PE-1087 | Cascade Dry Sack | 339 | 372 | 372 | 8.9% | 33 |
| PE-1082 | Trail 2P Tent | 566 | 615 | 615 | 8.0% | 49 |
| PE-1054 | Ridge Merino Tee | 79 | 85 | 85 | 7.1% | 6 |
This is an automated exception summary for Inventory Ops.
30,000+ agents powering your favorite brands
30,000+ agents powering your favorite brands
Describe it
Start the way you'd explain it to a colleague.
Parabola asks thoughtful follow-ups based on deep expertise in ops and finance use cases.
WorkingAsk Parabola to build, change, or run an agent...
Build it
Every decision is documented.
Your process becomes a visual agent you can edit, govern, and audit. Change one step, and everything downstream updates. No re-prompting from scratch.
Run it
Works the way your team does.
Connect to your existing tools, schedule agents to run on their own, and easily share with your team. All with the permissions, governance, and audit trail your team requires.
Runs on its own.
Hourly, daily, weekly, or on trigger. Parabola handles retries, alerts you on failure, and logs every run.
Your team, your rules.
Every agent is a living SOP that can be shared across your team. Fine-grained permissions keep access secure.
Enterprise-grade security
- SOC 2 Type II
- SSO & SAML
- Role-based access
- Data encryption
- Usage analytics
My team can now see a problem and fix it themselves. Watching them take ownership of work that used to wait on someone else is exhilarating.”
Marie Fodness AVP of Global Operations
What happens after the first run?
Your SOPs deserve better.
Most AI agents are built for the demo. Parabola builds for your thousandth run, the auditor, and the teammate covering when you're OOO.
When you're building
When the data changes
When something breaks
When someone new takes over
When the auditor asks
When the rule changes
general purpose agents
Black-box logic. Lacks transparency.
Context is gone. Reprompt and rebuild.
Silent failure. You find out downstream.
A doc. A Loom. A Slack thread.
"It's from the agent"
Start over.
Parabola
Fully documented
Same agent, same logic. New data flows through.
Email notice. Clear identification of the error point.
They open the agent, read the steps, click run.
Version history. Full audit logs.
Edit one step. Everything else holds.
Parabola by the numbers
- 25M+agent runs
- $200M+in invoices and spend managed
- 1.5B+manual tasks automated
- 1T+rows of data processed
Use cases
Build a complete agent with a single pre-built prompt.
- Inventory reconciliation Reconcile inventory across your ERP, WMS, and storefront. Flag every SKU that’s out of sync between systems and surface what’s missing where. See prompt
- Parcel invoice auditing Audit DHL, UPS, and carrier invoices against your rate card automatically. Catch the rate, zone, and weight overcharges before you pay them. See prompt
- Sales channel consolidation Combine Shopify, Amazon, retail, and wholesale sales into one normalized table. See revenue by month and channel without rebuilding the report every cycle. See prompt
- Variance analysis Compare forecasted spend against actuals automatically. Flag variances over your threshold by month and SKU so finance starts month-end with answers, not a workbook. See prompt
- Three-way PO matching Match your purchase orders against delivery receipts and supplier invoices automatically. Flag every quantity discrepancy at the PO and SKU level. See prompt
- Accrual calculations Build shipping and expense accruals automatically. Match uninvoiced activity to your rate card and roll up by carrier or vendor for month-end close. See prompt
Customer stories
Real results from real teams
See how other ops and finance teams use Parabola.
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