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VZU
VZU Industries · Retail

Inventory intelligence. Trade promotion. $35M trade spend .

VZU's retail playbook. Inventory intelligence. Financial reconciliation. Trade promotion. Buyer update automation. Powered by Quill (reconcile), Hunter (pull), and Kai (stack) on the VZU OS runtime. The brief is the contract. The work is the work. The audit trail is the regulator's form.

Industry

Retail

$35M

Trade spend gains

Direct answer

What does VZU do for retail?

VZU's retail playbook is inventory intelligence, financial reconciliation, and trade promotion on the VZU OS runtime. Quill reconciles the XLSX. Hunter pulls the source. Kai stands up the stack. Real deployments: F50 CPG $35M trade spend gains, Dorothy Gaynor Inventory Intelligence, US Retail Chain Financial Reconciliation, Fashion Wholesale 80%+ shipment risk surfacing.

Use cases

Five deployments. Real numbers.

  • Trade promotion planning

    F50 CPG. $35M trade spend gains. The Quill agent reconciled the spend. The Kai agent computed the ROI by promotion. The dashboard told the operator which promotions worked.

  • Inventory intelligence

    Dorothy Gaynor (consumer goods). The Hunter agent pulled the inventory. The Quill agent reconciled the XLSX. The Atlas agent shipped the model. The dashboard is live.

  • Financial reconciliation

    US Retail Chain. The Quill agent ran the reconciliation. Multi-currency payouts. Fee reconciliation. The audit trail is per-row. The reconciliation rate is 99.7%.

  • Buyer update automation

    Fashion Wholesale. 80%+ shipment risk surfacing. The Hunter agent pulled the shipment data. The Atlas agent ran the risk model. The Quill agent wrote the buyer update. The audit trail is per-shipment.

  • Inbound voice for retail

    Vega agent runs the customer support call. Sub-200ms p50. 14 languages. CRM writeback via MCP. The Vega agent escalates to a human when needed.

A case study · F50 CPG

$35M trade spend. ROI by promotion. The audit trail is per-row.

Chapter 01 · The brief

A F50 CPG, buried in $35M of trade spend.

A Fortune 50 CPG ran $35M of trade spend a year across 12 retail banners. Each promotion was a contract, an accrual, a settlement, a reconciliation. The Quill agent moved the workbook to the runtime. The Kai agent computed the ROI by promotion. The Nova agent designed the dashboard.

The brief from the CPG was specific. Tell us which promotions worked. Tell us which didn't. Tell us the ROI per dollar. Tell us the audit trail. The brief is the contract. The work is the work.

$35M

Trade spend reconciled

Chapter 02 · The architecture

Quill, Kai, and Nova on the VZU runtime.

The Quill agent ran the reconciliation. The Kai agent computed the ROI. The Nova agent designed the dashboard. The audit trail is per-row. The reconciliation is per-record. The dashboard is editorial-grade.

“$35M trade spend gains. 12 promotions scored. 100% reconciliation. The audit trail is per-row. The work is the work.”

Chapter 03 · The result

$35M trade spend gains. 100% reconciliation.

The pipeline shipped in 10 weeks. 12 promotions scored. $35M in trade spend gains. 100% reconciliation rate. The audit trail is per-row. The brief is the contract. The work is the work.

$35M

Trade spend gains

The Quill agent · A real reconciliation

Watch the Quill agent reconcile an XLSX.

The Quill agent is the spreadsheet-aware surface. Read, write, audit, reconcile XLSX without losing the formulas, the formatting, or the audit trail. The reconciliation is on per-row. The audit trail is on from the first sheet.

quill@vzu-os — trace.log live
  1. 01
    quill read brief

    read brief

  2. 02
    quill thinking: xlsx reconciliation. multi-currency. 2 weeks.

    thinking: xlsx reconciliation. multi-currency. 2 weeks. : xlsx reconciliation. multi-currency. 2 weeks.

  3. 03
    quill mcp.xlsx.read

    23 sheets, 14,000 rows, 89 named ranges

  4. 04
    quill thinking: 3 sheets have data validation. 5 sheets have formulas. 1 sheet is protected.

    thinking: 3 sheets have data validation. 5 sheets have formulas. 1 sheet is protected. : 3 sheets have data validation. 5 sheets have formulas. 1 sheet is protected.

  5. 05
    quill mcp.xlsx.reconcile

    row-level diff between source + target

  6. 06
    quill thinking: 47 rows differ. 12 are currency rounding. 35 are real discrepancies.

    thinking: 47 rows differ. 12 are currency rounding. 35 are real discrepancies. : 47 rows differ. 12 are currency rounding. 35 are real discrepancies.

  7. 07
    quill mcp.xlsx.write

    updated target with reconciliation log

  8. 08
    quill mcp.xlsx.audit

    0 errors, 2 warnings (resolved)

  9. 09
    quill ship. 2 weeks. 23 sheets. 14k rows. 47 reconciliations. done

    ship. 2 weeks. 23 sheets. 14k rows. 47 reconciliations.

quill@vzu-os $

Audit trail · 6 entries

streaming
  • T+00:00:00 brief.received 01
  • T+00:00:30 xlsx.read 02
  • T+00:04:00 reconcile.run 03
  • T+00:08:00 xlsx.write 04
  • T+00:14:00 audit.passed 05
  • T+02:00:00 brief.completed 06
  • KPI · 01 now

    2 weeks

    Median brief duration

    37%
  • KPI · 02 now

    23

    Sheets processed

    52%
  • KPI · 03 now

    14,000

    Rows reconciled

    24%
  • KPI · 04 now

    99.7%

    Reconciliation rate

    37%

The trust strip

What the runtime has shipped for retail.

  • F50 CPG · $35M trade spend

  • Dorothy Gaynor · Inventory

  • US Retail · Reconciliation

  • Fashion Wholesale · 80% risk

  • F50 CPG · ROI by promotion

A case study · F50 CPG

Case study

$35M. Trade spend.

01

The brief

A Fortune 50 CPG company was spending $35M a year on trade promotions. The question every CFO asked was the same one nobody could answer: which promotions actually worked, and which ones just looked good in the deck?

02

The analysis

The spend was reconciled after the fact, not in real time. The ROI was computed in aggregate, not by promotion. The Quill agent needed to reconcile the spend. The Kai agent needed to compute the ROI per promotion. The dashboard needed to tell the operator which trade dollars were real and which were noise.

03

The build

Quill reconciled the spend across every channel. Kai computed the ROI by promotion, by SKU, by region. Sentinel audited every reconciliation. The dashboard told the operator which promotions worked, which broke even, and which were burning margin.

04

The result

$35M in trade spend, finally attributable. The operator stopped funding the promotions that didn't work. The same pattern was applied at a fashion wholesaler — accounts-receivable risk down 80%.

The runtime

Every VZU brand ships on the NetWit Agentic OS runtime. Cloud, hybrid, on-prem. SOC 2 + HIPAA + ISO 27001.