Strategic AI Audit

Transform your
industrial data into
measurable performance.

We analyse your existing operational data and identify measurable performance gains in energy, supply chain, and maintenance. No new infrastructure. No disruption.

14 days
Audit delivery
3 pillars
Energy · Supply · Maintenance
Zero
Production disruption
AI AUDIT - ACTIVE ↑ 3 optimization opportunities
Transform your industrial data
into measurable performance
Strategic AI Audit delivered in 14 days
Energy Optimization identified from existing data
Supply Chain Intelligence reduce over-purchasing 40–60%
Predictive Maintenance stop breakdowns before they happen
Zero Disruption no new infrastructure required
Strategic AI Audit delivered in 14 days
Energy Optimization identified from existing data
Supply Chain Intelligence reduce over-purchasing 40–60%
Predictive Maintenance stop breakdowns before they happen
Zero Disruption no new infrastructure required
The Real Problem

You already know
something is being lost.

Most industrial plants sit on years of operational data from ERPs, sensors, maintenance logs. Yet decisions are still made by intuition. The data exists. The visibility doesn't.

Decisions made without data

Procurement, scheduling and maintenance are still managed manually. Costly inefficiencies go undetected for months.

Energy waste with no visibility

Energy represents 20–40% of operating costs. Most plants have no real-time tracking of where it goes or what's driving spikes.

Supply chain running on instinct

Over-ordering locks capital in dead inventory. Under-ordering causes production stops. Neither is acceptable at scale.

Reactive maintenance, not predictive

Equipment fails unexpectedly. Each unplanned breakdown costs hours of production and damages both morale and margins.

TYPICAL INDUSTRIAL PLANT - ANNUAL HIDDEN LOSSES
Based on FMCG / manufacturing benchmarks
15–25%
of operating costs
Avoidable energy waste8–12%
Over-purchasing / dead stock15–20%
Unplanned maintenance stops10–18%
Material scrap & defects5–10%
These losses are identifiable. Most of the data already exists in your systems.
An AI audit tells you exactly where to act.
The Opportunity

The gains are already
inside your operation.

Your ERP, sensors, and production logs contain patterns that human analysis cannot process at scale. AI reads that data and surfaces actionable improvements without changing your systems.

8–12%
Energy savings identified

Detectable through AI analysis of consumption patterns and production cycles

40–60%
Reduction in over-purchasing

Through predictive procurement models trained on your historical purchase data

25–35%
Fewer unplanned breakdowns

By detecting early failure signals in equipment sensor data before stops occur

These are not theoretical projections. They are patterns systematically found in plants across the FMCG and industrial sectors, using data those plants already had.

Our Solution

The Strategic
AI Audit

A structured 14-day AI analysis of your existing data. We connect to your ERP and operational systems, run our diagnostic models, and deliver a precise roadmap of performance improvements, prioritised by impact and feasibility.

No guesswork. No generic recommendations. A plant-specific report that tells you exactly what to fix, in what order, and what each improvement is worth.

What we analyse

Your ERP data, production logs, energy consumption records, maintenance history, and procurement patterns, connected securely, analysed in 14 days.

What you receive

A prioritised action plan with quantified gains per improvement area (energy, supply chain, and maintenance) along with implementation guidance and ROI projections.

What stays untouched

Your infrastructure, production schedule, and existing teams. The audit is read-only, non-intrusive, and requires no new hardware or software installation.

14 days
Audit delivery time
3 pillars
Energy · Supply · Maintenance
8 Sectors
Industries covered
Zero
Infrastructure changes required
The 3 Pillars

Three domains.
One AI diagnostic.

Each pillar is analysed independently and cross-referenced to identify systemic inefficiencies across your operation.

PILLAR 01

Energy Efficiency

AI analysis of your energy consumption data identifies consumption anomalies, peak waste periods, and equipment-level inefficiencies before they show on your utility bill.

→ 8–12% reduction identified on average
PILLAR 02

Supply Chain Intelligence

Procurement pattern analysis surfaces over-ordering cycles, supplier dependency risks, and demand forecasting gaps. We quantify what smarter purchasing would save, concretely.

→ Over-purchasing reduced 40–60%
PILLAR 03

Predictive Maintenance

Maintenance logs and sensor data are analysed to identify failure patterns. The audit reveals which equipment is at risk, which maintenance routines are over-engineered, and where reactive stops can be prevented.

→ Unplanned stops reduced 25–35%
Your Deliverable

A report your leadership
can act on immediately.

The audit produces a structured document designed for decision-makers. Not a technical report: a business case.

Full operational diagnostic

A clear analysis of your current performance across energy, supply chain, and maintenance, benchmarked against your sector.

Prioritised action plan

Each recommendation is ranked by estimated financial impact and implementation difficulty, so you know what to tackle first.

Quantified ROI per initiative

Every finding comes with a financial estimate: expected savings, payback period, and confidence level, based on your actual data, not generic benchmarks.

Executive presentation format

The report is structured for CEO and board-level review: clear language, visual summaries, and a one-page strategic overview.

Our Method

From first call to
actionable report in 14 days.

A structured four-step process: minimal demands on your teams, maximum quality of output.

01
Day 1

Scoping call

A 45-minute session to understand your operation, define the audit scope, and establish secure data access. No technical preparation required from your side.

02
Days 2–10

Data analysis

Our AI models run across your operational data (ERP, sensors, logs). We identify patterns, anomalies, and improvement potential across all three audit pillars.

03
Days 11–13

Report build

Findings are translated into a structured report: prioritised recommendations, ROI estimates, and an implementation roadmap tailored to your plant's context.

04
Day 14

Delivery & debrief

We present the report to your leadership team, walking through every finding, answering questions, and aligning on next steps. You leave with full clarity.

Why Automatiza

Built for FMCG and
industrial operations
in Africa and MENA.

Enterprise AI has historically been designed for multinationals with dedicated IT teams and 18-month implementation timelines. We built Automatiza for a different reality: the industrial plants of Sub-Saharan Africa and the Maghreb that operate with lean teams and need results fast.

We understand the constraints: intermittent connectivity, mixed ERP landscapes, multilingual operations. Our audit methodology is adapted for these environments, not retrofitted.

Data-first, not tool-first

We start with what you already have. No requirement to purchase new sensors, replace your ERP, or invest in infrastructure before seeing results.

Sector-specific models

Our AI models are calibrated for FMCG, food processing, textiles, pharmaceuticals, plastics, and steel. Not generic industrial templates applied to your sector.

Decision-maker focused

Our reports are written for CEOs, industrial directors, and operations directors, not IT teams. Every finding is expressed in business terms, not technical ones.

Honest about fit

If the audit doesn't reveal sufficient potential for your operation, we tell you before any further investment. We don't sell transformation for its own sake.

Our Commitments

What we commit to,
in writing.

Every engagement is governed by clear terms. Here is what you can hold us to.

14-day delivery

We commit to delivering the full audit report within 14 working days of validated data access. If we miss this, the audit is provided at no charge.

Actionable findings, or no fee

If the audit identifies no material opportunities worth pursuing in your operation, we do not charge for our time. We stand behind the relevance of our analysis.

Strict data confidentiality

All data shared with us is governed by a signed NDA and processed exclusively for the purpose of your audit. It is never shared, sold, or used for any other purpose.

Frequent Questions

Common questions.

What data do you need to run the audit? +
We work with whatever your plant already produces: ERP exports (SAP, Oracle, Odoo, Dynamics), energy meter logs, maintenance records, and production data. No special data preparation is needed. We handle the structuring on our side.
Will it require time from our operational teams? +
Minimal. Beyond the initial scoping call (45 minutes) and the final debrief, we work autonomously from your data. We may send two or three short clarification questions during the analysis phase, but there is no ongoing time commitment from your side.
Does the audit lead to a mandatory implementation engagement? +
No. The audit is a standalone deliverable. You receive the report and decide independently whether to implement any recommendations: with us, with another partner, or with your internal teams. There is no obligation beyond the audit itself.
Is the audit relevant for our sector? +
We have sector-specific models for food and beverage, textiles, pharmaceuticals, chemicals, plastics, steel, and FMCG manufacturing. If you are unsure whether your operation qualifies, contact us for a 15-minute scoping conversation, free of charge.
How is the confidentiality of our data guaranteed? +
A mutual NDA is signed before any data is shared. Data is processed exclusively for your audit, stored in encrypted environments, and permanently deleted at the end of the engagement unless you request otherwise.
Automatiza

Your data is ready.
Are you?

Request a strategic AI audit for your plant. We will confirm within 48 hours whether we can deliver measurable findings, and exactly how the engagement works.

contact@automatizasolutions.com · www.automatizasolutions.com

The Platform

AI that sees what
your team cannot.

Three integrated modules eliminating material waste across procurement, production floor, and analytics - all connected to your existing infrastructure.

Automatiza - Platform Overview Overview Ordering AI Tracking Analytics Reports Settings CURRENT WASTE RATE 8.3% ↓ –17.7 pts from baseline SAVINGS THIS MONTH €94,200 ↑ +12% above target DATA CONNECTIONS 12/12 All systems synced FORECAST ACCURACY 96.2% 30-day rolling average Waste Rate Trend - 8 Months Jul Aug Sep Oct Nov Dec Jan Feb 8% 15% 22% AI Recommendations Today Reduce Line 2 resin order by 18% - forecasted demand down ! Line 4 fabric consumption 14% over target - investigate System Connections ERP sync active (SAP) MES integration online WMS data stream active SYSTEM STATUS All modules operational ML retrain complete Uptime: 99.98% Last sync: 8 seconds ago · AES-256 encrypted · AWS eu-west-1
Module 01

Predictive Ordering Intelligence

ML models analyse 12–24 months of historical consumption, seasonal patterns, supplier lead times and production forecasts to generate optimal order recommendations - updated daily.

95%+ demand forecast accuracy on 30/60/90-day rolling windows
Dynamic safety stock - min/max levels that adapt to demand volatility daily
Supplier performance scoring - lead time reliability per supplier tracked
Auto-generated POs - purchase orders created directly in your ERP
–40–60%
Reduction in over-purchasing excess stock
Module 01
Data InputERP API · CSV · Manual
Forecast Window30 / 60 / 90 days rolling
ERP IntegrationSAP · Oracle · Dynamics · Odoo
Output FrequencyDaily automated + on-demand
Accuracy95%+ on 30-day forecast
Module 02
Data Latency<2 seconds real-time
CloudAWS · Azure (client choice)
AlertsEmail · SMS · Dashboard
InstallationNo production downtime
Module 02

Real-Time Material Tracking

Software integration with your existing ERP, MES, and warehouse systems gives live visibility from goods receipt through every production stage to finished goods. Every movement logged in real time. Automatic alerts when discrepancies occur.

Live inventory map - know where every material is at every moment
Instant discrepancy alerts - mismatches flagged before they become losses
Consumption by line/shift - material used per unit output per operator
15% → <3%
Inventory discrepancy rate after deployment
Module 03

Waste Analytics Dashboard

Automated dashboards slice waste data by material, production line, shift and operator. Pattern recognition surfaces root causes. Every week, you know exactly what to fix and why.

Root cause analysis - automated detection of waste drivers by line/shift/material
Trend benchmarking - weekly and monthly improvement tracking
One-click executive reports - PDF ready for management in seconds
–30–50%
Production scrap reduction within 90 days
// Security & Compliance
AES-256 Encryption
All data encrypted at rest and in transit
99.9% Uptime SLA
AWS/Azure with automatic failover
Role-Based Access Control
Granular permissions per user/department
GDPR Aligned
Your data ownership - always

See the platform live.

30-minute technical demo. Your data, your operation, your numbers.

Industries

Every industry has a
waste problem. We solve it.

Each sector has unique waste drivers. Our platform is pre-configured with sector-specific benchmarks, KPIs, and ML models trained on industry data.

Food & Beverage
Avg waste: 20–30%
Perishable materials, expiry management, batch waste, ingredient over-ordering. Platform integrates with production scheduling to align procurement with batch cycles. Seasonal demand forecasting critical.
Textiles
Avg waste: 25–35%
Fabric over-cutting, dye waste, seasonal obsolescence, multi-SKU complexity. Seasonal demand forecasting reduces material loss by up to 40%. Dye consumption tracking per batch.
Pharmaceuticals
Avg waste: 15–25%
Active ingredient waste, batch rejection, raw API stock expiry. GMP-aligned tracking ensures compliance while eliminating preventable losses. Batch traceability built-in.
Chemicals
Up to 30% waste by weight
Process inefficiencies, reaction by-products, over-dosing, cleaning waste. Real-time consumption per reactor reduces chemical waste 25–40%. HSMS integration available.
Plastics
Avg waste: 18–28%
Resin over-ordering, purge waste, rejected mouldings, colour changeover losses. ML scheduling minimises purge cycles and matches resin orders to real production requirements.
Steel & Metals
Avg waste: 15–22%
Scrap metal, cutting losses, over-specification of grade. Grade substitution recommendations and real-time consumption tracking reduce material cost per unit by 12–20%.
Insights

The Waste
Intelligence Blog.

Data-driven insights on manufacturing efficiency and industrial AI. No fluff. Just what works.

€2MLOSSSAVED
Material WasteComing soon
The Hidden €2M Loss: Why Plants Waste 25% of Purchased Materials

Most plant managers know waste exists. Very few know exactly where it disappears. We break down the four categories costing you more than your annual profit margin.

AI TechnologyComing soon
How AI Reduces Over-Ordering by 40–60%: A Technical Breakdown

Predictive ordering isn't magic - it's ML models trained on your historical data. Here's what to expect in month one vs month six of deployment.

ERPfully integrated
ImplementationComing soon
Real-Time Material Tracking: A Practical Implementation Guide

From ERP data mapping to system integration to staff adoption - everything you need to know before deploying a real-time tracking system.

YOUR WASTE COST€?Mper year (calculate now)30× ROI
ROI FinanceComing soon
How to Calculate the True Cost of Material Waste in Your Plant

A step-by-step formula to quantify your annual waste cost - the number you'll need when presenting the business case to your CFO.

MINING WASTE$100M+
Mining AIComing soon
Why Mining Operations Lose $100M+ Annually - And How AI Changes the Equation

1% ore recovery loss at a 50M tonne/year mine equals $60M. We quantify the full picture and outline what AI can do about it.

Coming
Coming soon
BenchmarksComing soon
Manufacturing Waste Benchmarks by Industry: 2025 Report

Industry-specific waste rate data across food, textiles, pharma, plastics, chemicals and steel manufacturing.

Get articles first.

New articles monthly. Contact us to receive content directly.

Our Story

Built for the plants
that were overlooked.

Manufacturing loses trillions annually to preventable material waste. The solutions that exist were built for multinationals with seven-figure IT budgets and 18-month timelines.

The plant running 200 people in Cairo, the textile factory in Casablanca, the pharmaceutical producer in Tunis - they have the same waste problem, without the same resources to fix it. They've been underserved for decades.

Automatiza AI-Solutions was founded in 2025 to close that gap. Enterprise AI capability, accessible deployment, 60-day timeline. A 30% waste reduction guarantee written into every contract.

"Eliminate preventable material waste in every industrial operation on the planet."
Automatiza Logo
AUTOMATIZA
AI-Solutions

Results Over Promises

We don't sell software. We sell waste reduction. If you don't hit 30% in 90 days, we keep working at no cost.

Radical Transparency

We tell you upfront what we can and cannot do. If the ROI doesn't make sense for your operation, we'll say so before you invest.

Long-Term Partnership

We're not a software vendor. Every month we don't improve your numbers is a month we haven't earned your subscription.

Automatiza logo
AUTOMATIZA AI-SOLUTIONS

Ready to bring AI into
your factory?

Let's start with a free 15-minute waste assessment. No commitment, no pitch just an honest look at where your plant is losing money.

Contact

Let's talk waste reduction.

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Email

[email protected]

Response within 24h business days

Response Times

Email: 24h

Free Assessment Includes
→ Estimated current waste % for your industry
→ Approximate annual savings potential
→ Honest fit assessment for our platform