Forecast exceptions, not another ERP

Know which SKUs need a planner’s attention today.

Turn a stable inventory export into explainable reorder, stockout, overstock, and data-quality exceptions—without pretending the forecast replaces judgment.

No card or migration Fixed-scope pilot Human-confirmed decisions
A small operations team reviewing a clear workflow together
Venthry StockPilot view
Current focusA daily or weekly exception digest explainingEvidence first · human confirmed
01
Explainable exceptions with the inputs and rule that triggered themReady for review
Priority
02
Separate source-data quality warnings from genuine planning riskOwner assigned
Tracked
03
Human-approved reorder decisions with a complete audit trailEvidence linked
Tracked
Read-only pilotUpdated just now
Early-access validation, openly stated.A small software studio building focused operations tools. This is a genuinely delivered pilot—not a claim that finished software already exists.

Why this exists

Built around the work competitors leave behind.

SMB manufacturers and distributors managing multi-location inventory in an ERP or spreadsheets.

01

Forecasting tools can become another heavy implementation with consultants, configuration, and training.

02

Baseline forecasts miss SKU context such as promotions, supply disruptions, and distorted demand after stockouts.

03

Teams spend hours reconciling data before they can decide what to buy.

The focused promise

A daily or weekly exception digest explaining demand, lead-time, stockout, and data-quality drivers.

We deliberately keep judgment, authorization, and consequential decisions with your team. The pilot automates the legwork that can be made observable and repeatable.

  • Explainable exceptions with the inputs and rule that triggered them
  • Separate source-data quality warnings from genuine planning risk
  • Human-approved reorder decisions with a complete audit trail
Venthry StockPilot view
Current focusA daily or weekly exception digest explainingEvidence first · human confirmed
01
Explainable exceptions with the inputs and rule that triggered themReady for review
Priority
02
Separate source-data quality warnings from genuine planning riskOwner assigned
Tracked
03
Human-approved reorder decisions with a complete audit trailEvidence linked
Tracked
Read-only pilotUpdated just now

Fast path to evidence

Useful before it becomes software.

One bounded workflow. Real output. A clear go/no-go decision.

  1. 1
    Step 1

    Map one standard export for SKU, location, sales, stock, open POs, and lead time.

  2. 2
    Step 2

    Backtest exceptions against one historical period with a planner.

  3. 3
    Step 3

    Run a supervised live digest without writing purchase orders.

Hard boundary: No autonomous purchasing, stockout or savings guarantee, ERP write, supplier commitment, or replacement for a qualified inventory planner.

Competitor-review intelligence

Recurring friction became product requirements.

We reviewed dated public operator discussions, preserved the caveats, and converted the repeated pain into design choices. No scraped review-marketplace content and no invented testimonials.

Cin7 · Brightpearl · Inventory Planner · Odoo

An operator evaluating many inventory systems found several capable options too ERP-like, expensive, and implementation-heavy for a smaller team.

Our response: Stay an export-based exception overlay with no migration, no master-data ownership, and a bounded first mapping.

See evidence and caveat

Cin7 ForesightAI · Netstock · Spreadsheet forecasting

The discussion distinguished baseline forecasts from SKU-level judgment around campaigns and disruptions and raised pricing and add-on concerns.

Our response: Explain every exception, expose source inputs, and require planner confirmation instead of presenting a single opaque forecast as truth.

See evidence and caveat

Spreadsheet planning · Inventory-planning software

An experienced ecommerce operator described reorder timing, quantity, lead times, minimums, and demand spikes as persistent judgment-heavy problems even with sales data.

Our response: Market fewer surprises and an attention queue—not perfect prediction or autonomous purchasing.

See evidence and caveat

Reciprocity, with something genuinely useful

Take the checklist, even if we never work together.

The inventory forecast readiness checklist is a practical starting point for improving this workflow today.

Download free CSV
  1. 01Separate observed demand from stockout-distorted demand
  2. 02Track actual and expected supplier lead time
  3. 03Flag promotions, new items, bundles, and missing history
  4. 04Require a planner to confirm every purchase decision

Design-partner offer

Forecast Exception Proof Run

€499 for one location and export

Expected plan: from €199/month. Future pricing is a hypothesis, not a payment commitment.

  • Explainable exceptions with the inputs and rule that triggered them
  • Separate source-data quality warnings from genuine planning risk
  • Human-approved reorder decisions with a complete audit trail
  • Direct access to the small Venthry team

Plain-English risk reversalNo connector or ERP migration. If the fixed export cannot support explainable exceptions, the pilot stops before live use.

Request one of 5 pilot reviews Five design-partner slots are planned for this offer. Availability is confirmed only after fit review; this page does not show a fake live counter.

Small first commitment

See if the pilot fits.

Reserve a nonbinding fit review. No card, operational files, credentials, or customer data belong in this form. We reply personally with the next safe step.

Questions, answered plainly

No hidden implementation story.

Does AI place purchase orders?+

No. The validation product is a read-only exception layer; planners retain purchasing authority.

Do we need to replace our ERP?+

No. The first test starts with a stable, standardized export.

Can it forecast new products?+

Sparse-history and new-item cases are explicitly flagged for human judgment rather than given false precision.

How do you test accuracy?+

The pilot backtests whether the selected rules would have surfaced useful decisions and records false positives.