Meet the Leader

Kyle Castor on value creation in basis points

Kyle Castor, Founder & Principal Architect  •  61 seconds  •  Captions  •  AI-rendered presenter from the studio portrait

Transcript

00:00To private equity sponsors and operating partners here in Las Vegas: your post-acquisition value creation shouldn't be trapped in forty-page slide decks.

00:11At DataOngoing, we measure our work strictly in basis points of EBITDA. Two hours of executive input returns hundreds of automated hours, proven in our 100x time ledger.

00:24First, a 48 to 72-hour AI technology diligence read to price technical debt before wiring capital. Second, compressing your 21-day multi-entity close down to 3. Third, automated floor-to-ledger data ingestion straight into NetSuite.

00:44We ship working code in 14-day sprints. If it does not run in production, the milestone is not billed. Visit DataOngoing.ai to schedule a private advisory session.

  1. How we work →
  2. Read the 100x ledger →
  3. The four offers →
  4. The Basis-Point Sprint →

Every figure in the brief is published on this site with its source class; the chapter links go to those pages.

Home / Case Studies / A Fourteen-Day Invoicing Lag Removed and Engineering Changes Billed at an Industrial Manufacturer
Field retrospective

A Fourteen-Day Invoicing Lag Removed and Engineering Changes Billed at an Industrial Manufacturer

Shipments took two weeks to become invoices, and mid-production design changes lived in spreadsheets and never reached the sales order. We paired the carrier scan to the invoice and moved design-change approval inside NetSuite, taking billing from fourteen days to minutes.

The problem

The factory was modern; the back office was not. Equipment left the floor with a paper traveler, and an accounting clerk later opened each item fulfillment, checked tracking numbers against carrier sites, confirmed the payment terms and typed an invoice, on average twelve to fourteen business days after the truck had gone. Meanwhile contractors changed duct dimensions and motor specifications mid-build, engineering revised the drawings in email and Excel, and the sales order was never updated, so the company fabricated revised components and absorbed the cost.

  1. The fourteen-day billing lag

    Every shipped order waited in a manual billing queue. Millions in receivables aged two weeks before the customer had even received an invoice to pay.

  2. The spreadsheet engineering trap

    A design change request is a commercial event. Routed through spreadsheets, it became unbilled customization on every commercial build and the occasional production-line error.

What we did

Two pieces of working code in one two-week sprint. A native SuiteScript 2.1 Suitelet took over design change requests: a logged change locks the downstream production ticket, reprices against raw material cost, waits for the project manager’s electronic approval and then updates the sales order lines and work orders in one transaction. An automated paired-transaction engine took over billing: the ShipStation carrier scan fires a webhook into NetSuite, a Map/Reduce job verifies fulfillment, approvals and terms, creates the invoice, posts it and emails it with the tracking link and bill of lading while the pallet is still on the carrier’s dock.

Order-to-invoice, before and after The facts needed to invoice exist the moment the carrier scans the bill of lading. The engine uses them; nobody re-types them.
  1. 01Before: fourteen business days

    1. Shop floor ships the equipment
    2. Paper traveler packed with the unit
    3. Design changes tracked in a shared spreadsheet
    4. Manual billing review in NetSuite
    5. Invoice created 12-14 business days later
  2. 02After: under two minutes

    1. ShipStation carrier scan
    2. Fulfillment webhook into NetSuite
    3. Paired engine verifies milestones and DCR approvals
    4. Invoice generated and posted to the GL
    5. Electronic invoice dispatched to the customer

How the mechanism works

  1. Design change requests inside the ledger

    When an engineer logs a specification change in the Suitelet, the production ticket locks, pricing recalculates against current material cost, and the project manager approves the variance before production resumes. Sales order lines and work orders update atomically, so the thing that ships is the thing that gets billed.

  2. Invoicing as an event

    The carrier scan is the trigger. A Map/Reduce job validates fulfillment completion, checks terms (net 30, progress billing or card), creates the native invoice and generates the PDF with embedded tracking, bill of lading and spec sheet. The accounts payable contact has it before the truck leaves the yard.

Results

MeasureBeforeAfter
Shipment-to-invoice latency12-14 business daysUnder 2 minutes, on the carrier scan
Days sales outstanding58 days39 days
Unbilled engineering changesAbout $120,000 a year$0; every change priced on the sales order
Accounting labor on invoice entry20+ hours a week0 hours; the team works collections
ShipStation-to-ERP syncPeriodic file drops with dropped recordsIdempotent RESTlet synchronization

What to take from it

  1. Invoicing should be an event, not a labor task

    If a forklift loaded the pallet and the carrier scanned the bill of lading, the software already holds every fact an invoice needs. Human clerical time between the two is pure friction.

  2. Never let engineering changes live outside the ERP

    An engineering revision is a contract event. When approvals are disconnected from the sales order, the business leaks margin on every custom fabrication.

  3. Paired transactions are the audit trail

    Programmatic links from sales order to work order to fulfillment to invoice mean every line can be traced by an external auditor without a spreadsheet to explain it.

Composite retrospective; client shown as an archetype and figures illustrate the mechanism. Related: Print, Scan and Weigh Consolidation Across a Portfolio

Talk to the architect, not a salesperson

AI automation for private-equity portfolios, measured in basis points: a few hours of operating-partner time in, hundreds of engineering hours and margin out, delivered as working code in two-week sprints.

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