Audit Automation

Stop Annual Stock-Takes.
Automate Cycle Counting Instead.

MAIA AI replaces the single most disruptive event in your warehouse calendar with a continuous, invisible counting process — maintaining 99.5%+ accuracy without stopping operations for a single day.

99.5% Inventory Accuracy
Zero Shutdown Days
−75% Audit Labour Cost
Always Audit-Ready

The Annual Stock-Take Is Costing You More Than You Think

Most European warehouses still rely on one annual count. Each year, that approach becomes more expensive and less effective.

3 Days of Lost Operations

Shutting down for an annual count costs manufacturers, wholesalers and distributors an average of €18,000–€60,000 in lost throughput per event.

Accuracy Falls Within Weeks

Even after a perfect count, inventory accuracy degrades rapidly. By month 6, most warehouses operate at 85–88% accuracy — creating phantom stock and missed orders.

Variances Discovered Too Late

Discrepancies found during an annual count are untraceable — they happened months ago. There is no way to identify root cause, prevent recurrence, or recover losses.

Labour Cost Spiral

Overtime, temporary counting teams, supervisors, and post-count data entry: the true cost of an annual stock-take is routinely 3–5× the visible labour line.

Audit Automation

Stock Audit & Cycle Count Automation

MAIA AI replaces disruptive annual stock-takes with continuous, automated cycle counting — maintaining 99.5%+ inventory accuracy without stopping warehouse operations.

Without MAIA
Traditional Annual Stock-Take
Operations shut down for 1–3 days while counting takes place
Accuracy degrades rapidly through the year between counts
High cost of overtime labour and external counting teams
Variances discovered months after they occurred — untraceable
Typical accuracy: 82–90% at point of count; drops below that within weeks
With MAIA AI
Continuous Automated Cycle Counting
No operational shutdown — counting happens within normal workflow
Every SKU counted at least once per month — high-risk SKUs more frequently
AI prioritises count tasks by risk score — no wasted counting of stable SKUs
Variances flagged and investigated within hours of occurring
Sustained accuracy: 99.5%+ maintained year-round — audit-ready at any time
Current Cycle Count Progress — Warehouse A LIVE
Aisle 1 — Fast-Moving 100%
120/120 bins · Complete
Aisle 2 — Electronics 78%
94/120 bins · In Progress
Aisle 3 — Bulk Items 45%
54/120 bins · In Progress
Aisle 4 — Slow-Moving 0%
0/120 bins · Scheduled
AI Risk-Prioritised Counting
MAIA scores every SKU by value, movement frequency, and historical discrepancy rate — directing counters to the highest-risk locations first.
Smart Scheduling
Handheld Scanner Integration
Operators receive guided count tasks on handheld devices — scan, confirm, done. Zero manual paperwork, zero re-entry of results.
No Paper
Blind Count Method
Counters see location but not expected quantity — eliminating confirmation bias that inflates manual count accuracy figures.
Accurate Results
Instant Variance Investigation
Any count discrepancy triggers an immediate second count and automated investigation — root cause identified before the shift ends.
Zero Delay
99.5%
Inventory accuracy maintained continuously
Zero
Operational shutdown days required for stock audit
−75%
Reduction in annual audit labour costs
Always
Audit-ready — no preparation period needed

How MAIA Cycle Counting Works

A self-managing counting engine that works around your team, not instead of it.

1

SKU Risk Scoring

MAIA continuously evaluates every SKU across 12 risk factors: unit value, movement velocity, historical discrepancy rate, storage conditions, and more. High-risk SKUs are counted more frequently — low-risk SKUs less so, eliminating wasted effort.

2

Automated Task Generation

Each morning, MAIA generates a prioritised count schedule for your team. Tasks are distributed to handheld scanners or mobile devices with exact bin locations and the counts required — no planning overhead, no paper lists.

3

Blind Scanning & Confirmation

Staff scan the location barcode, count physical units, and submit. They never see the expected quantity — eliminating the temptation to confirm rather than count. Results feed directly into your WMS in real time.

4

Variance Escalation & Resolution

Any discrepancy above tolerance immediately triggers a second blind count. If confirmed, a variance investigation workflow opens, capturing root cause before the shift closes — giving you traceable, actionable data every time.

Built for Every Stock-Heavy European Business

Whether you operate one warehouse or forty locations, MAIA cycle counting adapts to your environment.

Manufacturing

Thousands of component SKUs across multiple locations — continuous counting keeps production uninterrupted and component shortages from halting the line.

Wholesale & Distribution

High-velocity stock movement means discrepancies arise fast. Cycle counting catches them before they affect fulfilment accuracy and customer SLAs.

Retail & FMCG

SKU proliferation and seasonal spikes make annual counts unworkable. MAIA maintains accuracy through peak periods without adding headcount.

Pharmaceuticals

GMP and GDP require demonstrable inventory control. Cycle counting provides the continuous audit trail and documentation that regulators expect.

Food & Beverage

Fast-moving perishables need frequent verification. MAIA integrates counting with FEFO rotation checks to eliminate waste and compliance risk simultaneously.

Logistics & 3PL

Client SLAs demand accuracy guarantees. MAIA delivers real-time accuracy reporting per client, per location — giving you the data to back every service promise.

Frequently Asked Questions

No. MAIA is implemented alongside normal operations. The counting schedule is generated to fit within existing workflow, using spare capacity between picks, during shift transitions, or dedicated short windows you define.
MAIA uses a 12-factor risk model. Items with high unit value, recent discrepancies, high movement velocity, or upcoming audit requirements are prioritised. Stable, low-risk items are counted less frequently — no wasted effort.
MAIA integrates with standard handheld barcode scanners, mobile devices running Android or iOS, and most enterprise-grade RF guns. No proprietary hardware purchase is required.
In many jurisdictions, yes — provided the cycle counting programme meets defined accuracy and frequency thresholds. MAIA generates the documentation required to satisfy most European audit and financial reporting standards. Your auditors should confirm suitability for your specific requirements.
Most clients report measurable accuracy improvements within the first 4–6 weeks of cycle counting going live. By week 12, the vast majority have surpassed 99% accuracy and see it sustained.
Yes. MAIA connects to leading WMS platforms (SAP, Oracle, Microsoft Dynamics, Infor, and others) via API. Integration timelines vary by system complexity, but most go-lives complete within 4–8 weeks.

Your warehouse is losing money every day accuracy isn't 99.5%

Book a discovery call with a MAIA specialist — we'll show you exactly what cycle count automation looks like for your operation.