Inventory operations with a trustworthy review queue
See inventory health across items, locations, and review cycles.
StockSightline connects inventory position, location context, history, buyer-defined exceptions, data quality, and planner review in one controlled workspace.
The StockSightline platform
One working system for the whole operation.
Each module answers a different question. Together they give the team a shared record of what exists, what needs attention, who decides, and what happened next.
Inventory overview
Review the current buyer-normalized position across the agreed item portfolio.
Locations
Compare reported state across warehouses, stores, or other defined locations.
History
See whether each item has enough stable period coverage for a useful review.
Exceptions
Apply buyer-authored rules and retain exactly why a row needs attention.
Data quality
Keep structural input problems separate from inventory-planning questions.
Review queue
Give qualified planners the context to decide without issuing recommendations or orders.
Where the work gets stuck
The system is rarely the whole problem.
For smb manufacturers and distributors managing multi-location inventory in an erp or spreadsheets.
Forecasting tools can become another heavy implementation with consultants, configuration, and training.
Baseline forecasts miss SKU context such as promotions, supply disruptions, and distorted demand after stockouts.
Teams spend hours reconciling data before they can decide what to buy.
Inventory Exception Monitoring · managed delivery
A short exception list that explains demand, lead time, and data-quality risk.
We keep the records, definitions, checks, exceptions, and review pack moving across the six-module model. Your team keeps every decision that carries financial, legal, operational, or customer impact.
- 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
Evaluate the product
Everything you need to decide whether this fits.
Explore the application model, exact deliverable, input boundary, rollout, and trade-offs before you share operational data.
Product tour
Move through all six modules in a realistic workspace built with fictional data.
02Capabilities
See the repeatable work behind every operating cycle.
03Sample deliverable
Walk through the reviewable output your team receives.
04Implementation
See the four checkpoints, responsibilities, and acceptance criteria.
05Data requirements
Review the accepted fields, excluded data, and handling lifecycle.
06Full FAQ
Get direct answers on capacity, switching, security, and service boundaries.
How it works
A complete operating view without a drawn-out rollout.
Start with the working records you already have. We map them into the connected model, run the review cycle, and improve the control record with your team.
- 1Step 1
Map one standard export for SKU, location, sales, stock, open POs, and lead time.
- 2Step 2
Backtest exceptions against one historical period with a planner.
- 3Step 3
Run a supervised live digest without writing purchase orders.
Why we work this way
We started with the complaints, not a feature list.
Public operator discussions showed us where existing tools create extra work. Those recurring problems now shape the service and every client deliverable.
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.
What we changed: Stay an export-based exception overlay with no migration, no master-data ownership, and a bounded first mapping.
Read the source notesCin7 ForesightAI · Netstock · Spreadsheet forecasting
The discussion distinguished baseline forecasts from SKU-level judgment around campaigns and disruptions and raised pricing and add-on concerns.
What we changed: Explain every exception, expose source inputs, and require planner confirmation instead of presenting a single opaque forecast as truth.
Read the source notesSpreadsheet 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.
What we changed: Market fewer surprises and an attention queue—not perfect prediction or autonomous purchasing.
Read the source notesUseful before you hire us
Put the workflow into a register your team can actually run.
The inventory forecast readiness checklist is a five-tab Excel workbook with a ready-to-fill register, worked fictional example, weekly review agenda, and metric dictionary.
Download the Excel workbook- 01Separate observed demand from stockout-distorted demand
- 02Track actual and expected supplier lead time
- 03Flag promotions, new items, bundles, and missing history
- 04Require a planner to confirm every purchase decision
Monthly service plans
Choose the plan that matches the workload.
Every plan is a month-to-month managed service with a generous, published capacity, a named cadence, and human review. The middle plan is the practical fit for most teams. Prices are in US dollars and exclude applicable sales tax.
Our promiseNo annual contract, connector, or ERP migration. If the agreed export cannot support explainable exceptions, the plan does not begin. We take on no more than 5 new clients at a time, so every delivery gets a human review.
Compare the detailsStart with fit
Tell us where the work gets stuck.
Share the situation in general terms. We will review it personally and tell you which plan fits. No card or operational files are needed.
The practical details
Questions people ask before we start.
Does AI place purchase orders?+
No. StockSightline is a read-only exception review; planners retain purchasing authority.
Do we need to replace our ERP?+
No. We start with one 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 check accuracy?+
We backtest whether the selected rules would have surfaced useful decisions and record every false positive.
What do we receive each cycle?+
A human-reviewed inventory exception workbook, the supporting exception log, and the plan-specific review cadence shown on the pricing page.
What do you need from us?+
A named owner, the agreed definitions, and a stable, buyer-normalized inventory export. The public inquiry form accepts none of that operational data.