Work is scattered.
ERP. Warehouse. Spreadsheet. PDF. Email. Partner portal. Every process spans a different mix of systems, formats, and teams.
Prowork by Parabola
An AI workspace where serious work gets done.
Prowork answers questions, builds reports, and runs processes. You can inspect the data and logic at every step, change any calculation, and feel confident in the results.
Build an inventory reconciliation flow from the ShipHero, NetSuite, and Shopify sample data. Join on SKU, flag every SKU where the three don't match, add an interactive artifact showing the biggest discrepancies, and build a Slack report for my inventory managers.
Done. I reconciled 300 SKUs across all three systems and valued each gap at unit cost from the product catalog. 47 SKUs are off by more than 2%, worth $43.2k. The artifact ranks them by dollar impact, and the Slack report is ready for #inventory-managers.
I'm trying to...
Import ShipHero inventory
Uses the built-in ShipHero product inventory sample dataset
skuproduct_nameon_handallocatedavailablebackorderas_of_date
Import NetSuite inventory
Uses the built-in NetSuite inventory sample dataset
skuwarehouse_idqty_on_handqty_availablereorder_pointas_of_date
Import Shopify product inventory
Uses the built-in Shopify product inventory sample dataset
skuproduct_titlelocationavailablecommittedas_of_date
Import product catalog
Uses the built-in product catalog sample dataset for SKU costs
skuproduct_namecategorybrandunit_costretail_price
Reconcile inventory by SKU
•
Group
Totals NetSuite on-hand across warehouses and lines up ShipHero, Shopify, and catalog values by SKU.
•
Compare
Checks NetSuite on-hand against ShipHero on-hand, and ShipHero sellable against Shopify sellable.
•
Flag
Marks gaps above the 2% tolerance and classifies the likely cause.
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Value
Multiplies the largest flagged gap by unit cost for dollar impact.
Flag material discrepancies
•
Filter
Keeps SKUs where on-hand or sellable quantities miss by more than 2%.
•
Classify
Adds severity from dollar impact and keeps the likely cause.
•
Prioritize
Sorts the worklist by highest dollar impact first.
Break out impact by location
•
Allocate
Splits NetSuite gaps across warehouses by each one's share of on-hand units.
•
Attribute
Assigns Shopify sellable gaps to the Online Store.
•
Prepare
Produces location rows for the artifact chart and the Slack summary.
Send Slack discrepancy report
Post to#inventory-managers
Prowork 9:00 AM
47 SKUs are off by more than 2%, worth $43.2k at unit cost.
Biggest gap: PE-1142 Velvet Body Cream, $2,870. Cycle count first.
Inventory reconciliation
$43.2K estimated cost impact
47 of 300 SKUs miss by more than 2% · 3 likely causes across 3 teams
Quantity agreement
NetSuite vs ShipHero99.6%
Shopify vs ShipHero99.8%
Cycle countSync ShopifyCount, then syncMonitor
Top products by impact
The three SKUs worth checking first · select a product to investigate
Velvet Body Cream
Fruit Acid Glow Serum
Daily Mineral SPF 50
Impact by cause and system
Estimated cost impact of each likely cause · NetSuite on-hand gaps vs Shopify sellable gaps
SKU investigation
Top 10 of 47 flagged SKUs by dollar impact · NetSuite compared with ShipHero on-hand, Shopify with ShipHero sellable
| SKU | Product | Suggested action | ShipHero | NetSuite | NetSuite var. | Shopify | Shopify var. | Impact |
|---|---|---|---|---|---|---|---|---|
| PE-1142 | Velvet Body Cream | Cycle count | 399 | 415 | +16 | 353 | +2 | $2,870 |
| PE-1284 | Fruit Acid Glow Serum | Cycle count | 268 | 251 | -17 | 265 | 0 | $2,854 |
| PE-1089 | Daily Mineral SPF 50 | Count, then sync | 332 | 351 | +19 | 249 | +7 | $2,639 |
| PE-1130 | Barrier Repair Moisturizer | Count, then sync | 396 | 378 | -18 | 398 | +10 | $2,472 |
| PE-1236 | Tinted Lip Balm | Sync Shopify | 88 | 88 | 0 | 75 | +12 | $1,773 |
| PE-1164 | Overnight Lip Mask | Count, then sync | 103 | 96 | -7 | 91 | +11 | $1,721 |
| PE-1028 | Gentle Foaming Cleanser | Cycle count | 132 | 122 | -10 | 106 | 0 | $1,575 |
| PE-1206 | Skin Tint Foundation | Sync Shopify | 321 | 321 | 0 | 304 | -11 | $1,547 |
| PE-1187 | Jade Facial Roller | Sync Shopify | 454 | 452 | -2 | 341 | -9 | $1,444 |
| PE-1071 | Hydrating Toner | Cycle count | 448 | 458 | +10 | 318 | 0 | $1,408 |
The fastest-growing brands accelerate with Prowork.
The fastest-growing brands accelerate with Prowork.
The hard part of becoming AI-native is the long tail.
Logic isn't documented.
What to match, what to ignore, what to override, and what to investigate lives only in your team's heads.
Process keeps changing.
New customers, vendors, exceptions, and campaigns keep things in flux. Experts need to own the changes.
Prowork helps you automate each piece, stitch it all together, and continuously improve the end-to-end process.
The fastest path to...
-
...unsiloed financial operations.
PO matching, accounts receivable, and sales reporting run on demand, in the open, with logic you can see and trust.
See more finance use cases -
...a continuous close.
The reconciliations and accruals that used to eat close week run behind the scenes, so you can trust the data every time you look at it.
See more accounting use cases -
...backorders being a thing of the past.
Inventory, orders, and supplier feeds reconciled across every system. Variances get flagged before they turn into a stockout or a scramble.
See more supply chain use cases -
...exceptions caught before they cost you.
Every shipment and freight invoice checked against your rates and rules, so the ones that need a human get flagged while there's still time to act.
See more logistics use cases -
...launches that land on time.
Every style tracked from PO to 3PL receipt against its available-to-sell date. Slips show up when they happen, not on launch day.
See more merchandising use cases
Three-way match control tower
Dynamic PO validation dashboard
Compare orders, receipts, and invoices.
Need review
57
Waiting on receipt
0
Net receipt variance (units)
4,009
Received rate
113.4%
Product matrix
Navy running shoes
SKU: AV-1001
Training tank
SKU: AV-2001
Lime running shoes
SKU: AV-1002
Match results
Based on current filtersCorrect
2
Over-delivered
4
Over-invoiced
1
Waiting on invoice
52
Receipt status
Based on current filtersCorrect
55
Over-delivered
4
Vendors with the most lines needing review
Click a vendor to focusLine-level match results
59 matching lines · KPIs cover all matches
| PO | SKU | Vendor | Receipt match | Invoice match | Ordered | Received | Receipt gap ▼ | Days to receipt |
|---|---|---|---|---|---|---|---|---|
| PO1883 | AV-1002 | XYZ Enterprises | Over-delivered | Waiting on invoice | 713 | 1,967 | 1,254 | -40.0 |
| PO1653 | AV-1002 | Superior Solutions | Over-delivered | Waiting on invoice | 738 | 1,895 | 1,157 | 23.0 |
| PO1436 | AV-1002 | Alpha Enterprises | Over-delivered | Waiting on invoice | 807 | 1,706 | 899 | 20.0 |
| PO6314 | AV-2008 | Prime Products | Over-delivered | Waiting on invoice | 326 | 1,025 | 699 | 20.0 |
| PO1028 | AV-2002 | MegaCorp Ltd. | Correct | Waiting on invoice | 910 | 910 | 0 | 23.0 |
| PO1177 | AV-1002 | MegaCorp Ltd. | Correct | Waiting on invoice | 663 | 663 | 0 | 20.0 |
| PO1418 | AV-2001 | MegaCorp Ltd. | Correct | Waiting on invoice | 351 | 351 | 0 | 20.0 |
| PO1457 | AV-3001 | ABC Corp | Correct | Waiting on invoice | 119 | 119 | 0 | 33.0 |
| PO1653 | AV-2001 | Superior Solutions | Correct | Waiting on invoice | 62 | 62 | 0 | 20.0 |
| PO1825 | AV-2002 | Superior Solutions | Correct | Waiting on invoice | 454 | 454 | 0 | 30.0 |
| PO1967 | AV-2004 | Globex Industries | Correct | Waiting on invoice | 929 | 929 | 0 | 20.0 |
| PO222 | AV-2004 | ABC Corp | Correct | Waiting on invoice | 515 | 515 | 0 | 18.0 |
| PO2385 | AV-2009 | Innovative Technologies | Correct | Waiting on invoice | 173 | 173 | 0 | 20.0 |
| PO2530 | AV-2008 | XYZ Enterprises | Correct | Waiting on invoice | 970 | 970 | 0 | 18.0 |
| PO2675 | AV-2002 | Globex Industries | Correct | Waiting on invoice | 763 | 763 | 0 | 31.0 |
| PO2868 | AV-2002 | ABC Corp | Correct | Waiting on invoice | 661 | 661 | 0 | 18.0 |
| PO2923 | AV-1001 | Globex Industries | Correct | Over-invoiced | 899 | 899 | 0 | 27.0 |
| PO2923 | AV-2001 | Globex Industries | Correct | Correct | 134 | 134 | 0 | 28.0 |
| PO2923 | AV-1002 | Globex Industries | Correct | Correct | 329 | 329 | 0 | 29.0 |
| PO30 | AV-2011 | Alpha Enterprises | Correct | Waiting on invoice | 596 | 596 | 0 | 20.0 |
Bank reconciliation: operating account
Bank of America ···4321
Period ended May 31, 2025
W/P refA-1 Prepared byParabola Flow, October 19, 2026 Status✓ Reconciled after proposed entries
Reconciliation
Bank statement balances
Opening balance per bank statement415,912.00✓
Net activity per bank statement(2,441.00)✓
Closing balance per bank statement413,471.00✓
Ledger activity and proposed adjustments
Net activity per bank statement(2,441.00)✓
Net activity per general ledger40,199.62ⓖ
Reconciling items (proposed entries JE-1 to JE-4)(42,640.62)ⓙ
Adjusted general ledger(2,441.00)Σ
Unreconciled difference0.00✓
Reconciling items
Differences before adjustments; all amounts in USD. Difference = Bank − Ledger. Expand a JE reference to inspect supporting lines.
| JE ref | G/L account | Description | Bank activity | Ledger activity | Difference | Tickmark |
|---|---|---|---|---|---|---|
| JE-1 | 4000 Revenue | Material discrepancy | 79,138.00 | 117,378.12 | (38,240.12) | ⓙ |
Bank statement linesMay 2, 2025 Stripe Payout – Order #12903 38,240.12 May 6, 2025 Shopify Payout 12,954.00 May 22, 2025 Stripe Payout – Order #12971 27,943.88 G/L entries in scopeMay 1, 2025 Stripe Order Batch – Early May 22,480.00 JRN-15276 May 2, 2025 Stripe Order #10037 390.19 JRN-25012 May 2, 2025 Stripe Order #10024 576.47 JRN-54057 May 2, 2025 Stripe Order #10033 585.21 JRN-71261 May 2, 2025 Stripe Order #10011 327.95 JRN-80008 May 2, 2025 Stripe Order #10048 399.63 JRN-97670 May 3, 2025 Stripe Order #10022 237.14 JRN-50768 May 4, 2025 Stripe Order #10003 172.77 JRN-85470 124 more ledger entries in scope. Proposed entry lines4000 Revenue Dr 38,240.12 1100 Bank Account Cr 38,240.12 | ||||||
| JE-2 | 4200 Refunds | Material discrepancy | (180.00) | (1,764.50) | 1,584.50 | ⓙ |
Bank statement linesMay 17, 2025 Customer Refund – Order #12847 (180.00) G/L entries in scopeMay 10, 2025 Customer Refund – Order #13001 (75.00) JRN-37742 May 14, 2025 Customer Refund – Order #13002 (220.00) JRN-31632 May 17, 2025 Customer Refund – Order #12847 (1,080.00) JRN-54236 May 18, 2025 Customer Refund – Order #13003 (105.50) JRN-95426 May 21, 2025 Customer Refund – Order #13004 (189.00) JRN-33834 May 29, 2025 Customer Refund – Order #13005 (95.00) JRN-66179 Proposed entry lines4200 Refunds Cr 1,584.50 1100 Bank Account Dr 1,584.50 | ||||||
| JE-3 | 5500 Bank Fees | Small discrepancy | (75.00) | (90.00) | 15.00 | ⓙ |
Bank statement linesMay 15, 2025 Monthly Account Fee (75.00) G/L entries in scopeMay 13, 2025 Bank Fee – ACH Processing (35.00) JRN-13365 May 24, 2025 Bank Fee – Wire Transfer (55.00) JRN-69087 Proposed entry lines5500 Bank Fees Cr 15.00 1100 Bank Account Dr 15.00 | ||||||
| JE-4 | 6700 Advertising Expense | Missing from G/L | (6,000.00) | 0.00 | (6,000.00) | ⓙ |
Bank statement linesMay 11, 2025 Facebook Ads – May Billing (6,000.00) G/L entries in scopeProposed entry lines6700 Advertising Expense Dr 6,000.00 1100 Bank Account Cr 6,000.00 | ||||||
Account tie-out
Period activity before proposed adjustments, by account. All amounts in USD; Difference = Bank − Ledger.
| Account | Name | Bank activity | Ledger activity | Difference | Status |
|---|---|---|---|---|---|
| 4000 | Revenue | 79,138.00 | 117,378.12 | (38,240.12) | |
| 4200 | Refunds | (180.00) | (1,764.50) | 1,584.50 | |
| 5000 | Payroll | (48,000.00) | (48,000.00) | 0.00 | Tied |
| 5100 | Shipping Expense | (3,874.00) | (3,874.00) | 0.00 | Tied |
| 5200 | Software Subscriptions | (1,450.00) | (1,450.00) | 0.00 | Tied |
| 5300 | Rent Expense | (22,000.00) | (22,000.00) | 0.00 | Tied |
| 5500 | Bank Fees | (75.00) | (90.00) | 15.00 | |
| 6700 | Advertising Expense | (6,000.00) | 0.00 | (6,000.00) | |
| Total | (2,441.00) | 40,199.62 | (42,640.62) | Σ | |
$43.2K estimated cost impact
47 of 300 SKUs miss by more than 2% · 3 likely causes across 3 teams
Quantity agreement
NetSuite vs ShipHero99.6%
Shopify vs ShipHero99.8%
Cycle count
Sync Shopify
Count, then sync
Monitor
Cycle count
Warehouse ops
$23.8K
Recount on-hand where NetSuite and ShipHero disagree.
View count list Sync Shopify
Ecommerce
$9.0K
Push ShipHero sellable quantities to Shopify.
View sync list Count, then sync
Inventory
$10.4K
Recount first, then resync Shopify from the corrected count.
View SKUs Monitor
Within tolerance
253
No action needed. These counts agree across all three systems.
View SKUs Tolerance 2%
Minimum impact $0
Product mix
Velvet Body Cream
9,722 units · 12.1% of inventory
Daily Mineral SPF 50
8,219 units · 10.2% of inventory
Fruit Acid Glow Serum
7,650 units · 9.5% of inventory
Overnight Lip Mask
5,816 units · 7.2% of inventory
Barrier Repair Moisturizer 11,569 units · 14.3%
Gentle Foaming Cleanser 9,725 units · 12.1%
Jade Facial Roller 8,269 units · 10.3%
Skin Tint Foundation 7,989 units · 9.9%
Tinted Lip Balm 5,991 units · 7.4%
Hydrating Toner 5,718 units · 7.1%
DHL parcel invoice audit
$322.17
Potential overbilling · above tolerance
$4,831.13
Billed
Quoted $4,506.41
60
Lines over tolerance
of 1,043 · 60 flagged by Flow
7.1%
Share of quoted
Zone 8: 54% of overbilling
USPS08 · $173.17USPS07 · $59.58USPS06 · $54.50
Audit settings Flag lines exceeding both limits.
Overbilling tolerance
Contracted vs. billed cost
315 invoice lines above contract · $324.72
All 1,043 lines shown. Above the diagonal means billed above contract; tolerance is not applied.
Billed above contract At or below contract Dashed line: billed equals contracted
Billed cost ($)
Contracted cost ($)
$324.72 in all positive differences · $322.17 above tolerance (headline) · $2.55 within tolerance. No underbilling is netted.
HO26 Launch Tracker
Fernwood Goods · Holiday 2026
Arrived
49%
26 groups · +0 vs 7d
On Time
28%
15 groups · -2 vs 7d
Past Due
8%
4 groups · +2 vs 7d
At Risk
6%
3 groups · +0 vs 7d
Late
9%
5 groups · +0 vs 7d
Status over time
Launch groups by status through the selected date · Replay reveals the season day by day
Launch groups
Arrived
On Time
Past Due
At Risk
Late
Viewing as of
Tue 10/6
latest checkpoint What changed in the last 7 days
10/6/2026 Waffle Henley NEW On Time → Past Due ATS date passed, not fully received
10/6/2026 Fireside Merino Boot Sock On Time → Past Due ATS date passed, not fully received
How it works
Turn your team's expertise into a system you own.
Explore
Start where the work lives
Point Prowork at your files, inboxes, and business systems. Ask a question, investigate an issue, or open an existing Flow to see how it works. Nothing has to move into a new system first.
Validate
Make results trustworthy
Run every step against live data. Trace every result and add the edge cases only your team knows. Nothing gets reinterpreted, nothing gets invented.
Build
Capture the process
The documentation writes itself. You talk through the work, and Prowork turns each piece — sources, rules, calculations, exceptions — into a step you can read and change.
Expand
Scale without starting over
Real runs surface the cases you didn't think of, so you add them as you go. Once your systems are connected, the next workflow starts from there, not from zero.
Govern
Built for IT to trust
Prowork runs inside your existing permissions and SSO, and logs every action. Ops moves fast without landing back on IT's plate.
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
Prowork vs. general-purpose AI
Some work you have to be able to see.
General-purpose AI
Best when you just need it done, and don't care how.
- Quick and one-off
- Different every time is fine
- Good enough beats exact
Examples
- Create a slide
- Send an email
- Schedule a meeting
Prowork
Best when how it happens is critical to understand.
- Data-heavy
- Same result every time
- Has to be explainable
Prompt library
Start from a flow that's solved this before.
- 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.
- 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.
- 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.
- 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.
- 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.
- 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.
The Applied AI team
Don’t just experiment with AI. Put it to work.
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Find the right opportunities
Identify the recurring processes with the biggest payoff.
-
Build and ship faster
Workshops use your data and your processes, not canned demos.
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Keep the momentum going
Expertise, playbooks and community to go from one workflow to dozens.
Enterprise-grade security
- SOC 2 Type II
- SSO & SAML
- Role-based access
- Data encryption
- Usage analytics
Customer stories
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