🇺🇸United States

Delayed billing when die/tooling usage is not captured to jobs

2 verified sources

Definition

When die usage, refurbishments, and setup times are not accurately recorded against specific work orders, invoicing for tooling-related charges is delayed while teams reconstruct what happened. This pushes out cash collection and increases WIP in the system.

Key Findings

  • Financial Impact: $10,000–$40,000 in incremental working capital tied up at any time for a plant with high die‑intensive work, inferred from ERP vendors’ emphasis on linking tooling and work orders for faster, cleaner billing.
  • Frequency: Monthly
  • Root Cause: Manual or paper-based tracking of die/tooling activity leads to missing or inconsistent data in the ERP; finance must investigate discrepancies before invoicing, delaying final billing or causing partial invoices without tooling components.

Why This Matters

This pain point represents a significant opportunity for B2B solutions targeting Packaging and Containers Manufacturing.

Affected Stakeholders

Production supervisors, Tool crib attendants, Cost accountants, AR/billing specialists, Plant controller

Deep Analysis (Premium)

Financial Impact

$10,000–$25,000 in lost/underpriced bids monthly; incorrect job costing masks true profitability; cash tied up in unprofitable jobs; margin degradation • $10,000–$25,000 in monthly margin loss from inaccurate costing; unprofitable jobs not flagged until post-production; cash tied up in mispriced work • $10,000–$40,000 cash flow delay

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Current Workarounds

After jobs ship, customer service and scheduling teams chase operators and maintenance by email or on the floor to find which dies were used and whether any refurb/regrind occurred, then update an Excel cost sheet or manual surcharge table before invoicing. • After realizing that tooling charges are missing from a shipment or invoice, Customer Service and Plant Admin teams chase down details via emails, phone calls, paper travelers, and ad‑hoc Excel lists, then ask operators or toolroom staff to reconstruct which die was used, how many impressions or cycles were run, and whether refurbishments occurred. • At the end of the shift or week, production supervisors, packaging design engineers, and QA managers huddle with planners and finance to reconstruct which dies were used on which jobs by cross-checking paper travelers, Excel logs from the tool crib, email/WhatsApp messages, and people’s memory before billing or adding tooling charges.

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Methodology & Sources

Data collected via OSINT from regulatory filings, industry audits, and verified case studies.

Evidence Sources:

Related Business Risks

Duplicate die/tooling purchases from poor inventory visibility

$100,000 per year (documented in one precision manufacturer’s first-year savings after fixing the issue)

Lost press time from searching for missing dies and tools

$5,000–$20,000 per month per line in lost contribution margin for mid‑size plants, based on chronic changeover delays and downtime described by automated storage vendors and CMMS providers (time loss scaled by typical press hourly rates).

Excess tooling inventory and overstocked materials due to poor die/tool data

$50,000–$200,000 per year in avoidable carrying cost and write‑offs for mid‑size shops, inferred from ERP vendors’ emphasis on overstock waste and profitability impact for tool and die operations.

Scrap and rework from worn or poorly maintained dies

$10,000–$50,000 per month in scrap and rework for mid‑size operations relying on manual tracking, based on CMMS vendors reporting that proactive die maintenance reduces defects and downtime significantly.

Unplanned downtime from reactive die and tooling maintenance

$5,000–$30,000 per month per facility in lost output and overtime premiums for reactive maintenance, consistent with CMMS providers’ claims that proactive die maintenance reduces downtime costs significantly.

Under-quoting and unbilled die/tooling costs in packaging jobs

$50,000–$250,000 per year in margin leakage for a mid‑size specialty packaging manufacturer, extrapolating from ERP providers’ warnings about underquoted jobs when tooling and inventory data are disconnected.

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