Inventory and procurement automation

Turn inventory signals into controlled purchasing decisions

Perfectory builds inventory and procurement automation for reorder risk, stockouts, excess stock, forecasting, competitor gaps, and human-approved purchasing decisions.

We connect sales, stock, lead times, open orders, pricing, product, and competitor data to produce explainable reorder, markdown, assortment, and review recommendations.

Inventory teams rarely lack data. They lack a reliable decision layer that reconciles fragmented signals, prioritizes the SKUs that need attention, and shows the evidence before a buyer commits cash. Perfectory designs that layer around your current ERP, planning rules, catalogue, supplier constraints, and approval process.

Decisions this improves

  • Stockout and reorder risk is discovered too late because demand, cover days, lead time, open orders, and availability are reviewed in separate reports.
  • Excess inventory accumulates while markdown decisions depend on manual spreadsheet work and inconsistent margin rules.
  • Demand and replenishment forecasts are trusted without backtesting their stockout, over-order, and service-level consequences.
  • Competitor assortment and availability signals are collected but not converted into ranked catalogue or purchasing opportunities.
  • Automated recommendations lack evidence, approval thresholds, and a clear route for buyers to correct exceptional cases.

What we build

  • A unified inventory decision model across sales, stock, transfers, inbound supply, lead time, safety stock, order multiples, and business constraints.
  • Prioritized reorder and stockout-risk recommendations with explainable quantities, coverage assumptions, confidence, and exception flags.
  • Overstock and markdown workflows that balance weeks of cover, sales velocity, ageing, margin, lifecycle, and commercial policy.
  • Forecasting backtests and policy simulations that compare candidate approaches on the decisions and costs that matter to the business.
  • Human-review queues, audit trails, approval rules, monitoring, and integrations that keep purchasing ownership with accountable operators.

Direct answers

What is inventory and procurement automation?

Inventory and procurement automation combines operational data, forecasting, business rules, and review workflows to identify stock risk, calculate proposed actions, explain the evidence, and route recommendations to the right buyer for approval.

Which inventory decision should be automated first?

Start with one expensive and measurable decision, usually reorder prioritization, stockout-risk review, or excess-stock triage. Use historical data to establish a baseline before allowing recommendations to influence live purchasing.

Can this work with an existing ERP and spreadsheets?

Yes. We normally keep the ERP as the system of record, connect the minimum required data sources, and add a decision layer that can return approved recommendations through an API, export, workflow, or existing operational interface.

FAQ

Do we need to replace our ERP or planning system?

No. The first implementation should work with the systems already responsible for products, stock, orders, and suppliers. Replacement is considered only when the current platform prevents a safe integration path.

How do you validate reorder recommendations?

We replay historical decision points using only information that would have been available at the time, compare proposed quantities with a baseline, and measure stockout exposure, over-order risk, service level, working-capital impact, and exception behaviour.

Can buyers override the recommendation?

Yes. Human approval and override capture are part of the design. Overrides should record a reason so the team can distinguish missing data, commercial knowledge, supplier constraints, and model errors.

What data is required for an assessment?

A useful assessment starts with current systems, approximate SKU count, purchasing frequency, sales and stock history, inbound orders, supplier lead times, pack or order constraints, and the primary inventory problem.

How long does an initial inventory automation phase take?

A focused discovery and backtest can usually be scoped in weeks. Production timing depends on data quality, ERP access, supplier complexity, approval rules, and whether the first release recommends actions or writes approved orders back to a system.

Relevant case studies

Related inventory automation insights

Planning an AI automation initiative? Read the AI automation POC guide.