We analyse your existing operational data and identify measurable performance gains in energy, supply chain, and maintenance. No new infrastructure. No disruption.
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.
Procurement, scheduling and maintenance are still managed manually. Costly inefficiencies go undetected for months.
Energy represents 20–40% of operating costs. Most plants have no real-time tracking of where it goes or what's driving spikes.
Over-ordering locks capital in dead inventory. Under-ordering causes production stops. Neither is acceptable at scale.
Equipment fails unexpectedly. Each unplanned breakdown costs hours of production and damages both morale and margins.
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.
Detectable through AI analysis of consumption patterns and production cycles
Through predictive procurement models trained on your historical purchase data
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.
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.
Your ERP data, production logs, energy consumption records, maintenance history, and procurement patterns, connected securely, analysed in 14 days.
A prioritised action plan with quantified gains per improvement area (energy, supply chain, and maintenance) along with implementation guidance and ROI projections.
Your infrastructure, production schedule, and existing teams. The audit is read-only, non-intrusive, and requires no new hardware or software installation.
Each pillar is analysed independently and cross-referenced to identify systemic inefficiencies across your operation.
AI analysis of your energy consumption data identifies consumption anomalies, peak waste periods, and equipment-level inefficiencies before they show on your utility bill.
Procurement pattern analysis surfaces over-ordering cycles, supplier dependency risks, and demand forecasting gaps. We quantify what smarter purchasing would save, concretely.
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.
The audit produces a structured document designed for decision-makers. Not a technical report: a business case.
A clear analysis of your current performance across energy, supply chain, and maintenance, benchmarked against your sector.
Each recommendation is ranked by estimated financial impact and implementation difficulty, so you know what to tackle first.
Every finding comes with a financial estimate: expected savings, payback period, and confidence level, based on your actual data, not generic benchmarks.
The report is structured for CEO and board-level review: clear language, visual summaries, and a one-page strategic overview.
A structured four-step process: minimal demands on your teams, maximum quality of output.
A 45-minute session to understand your operation, define the audit scope, and establish secure data access. No technical preparation required from your side.
Our AI models run across your operational data (ERP, sensors, logs). We identify patterns, anomalies, and improvement potential across all three audit pillars.
Findings are translated into a structured report: prioritised recommendations, ROI estimates, and an implementation roadmap tailored to your plant's context.
We present the report to your leadership team, walking through every finding, answering questions, and aligning on next steps. You leave with full clarity.
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.
We start with what you already have. No requirement to purchase new sensors, replace your ERP, or invest in infrastructure before seeing results.
Our AI models are calibrated for FMCG, food processing, textiles, pharmaceuticals, plastics, and steel. Not generic industrial templates applied to your sector.
Our reports are written for CEOs, industrial directors, and operations directors, not IT teams. Every finding is expressed in business terms, not technical ones.
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.
Every engagement is governed by clear terms. Here is what you can hold us to.
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.
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.
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.
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
Three integrated modules eliminating material waste across procurement, production floor, and analytics - all connected to your existing infrastructure.
ML models analyse 12–24 months of historical consumption, seasonal patterns, supplier lead times and production forecasts to generate optimal order recommendations - updated daily.
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.
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.
30-minute technical demo. Your data, your operation, your numbers.
Each sector has unique waste drivers. Our platform is pre-configured with sector-specific benchmarks, KPIs, and ML models trained on industry data.
Data-driven insights on manufacturing efficiency and industrial AI. No fluff. Just what works.
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.
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.
From ERP data mapping to system integration to staff adoption - everything you need to know before deploying a real-time tracking system.
A step-by-step formula to quantify your annual waste cost - the number you'll need when presenting the business case to your CFO.
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.
Industry-specific waste rate data across food, textiles, pharma, plastics, chemicals and steel manufacturing.
New articles monthly. Contact us to receive content directly.
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.
We don't sell software. We sell waste reduction. If you don't hit 30% in 90 days, we keep working at no cost.
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.
We're not a software vendor. Every month we don't improve your numbers is a month we haven't earned your subscription.
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.
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We do not sell your personal data. We may share data with trusted service providers (cloud hosting, analytics) under strict data processing agreements. We never share your operational data with third parties for any purpose.
We retain personal data for as long as necessary to deliver our services and comply with legal obligations. Client operational data is deleted within 30 days of contract termination.
We use AES-256 encryption at rest, TLS 1.3 in transit, and enterprise-grade cloud infrastructure. See our Security page for full details.
Privacy questions: contact@automatizasolutions.com
Automatiza AI-Solutions provides AI-powered material waste reduction software and professional services. Our platform includes Predictive Ordering Intelligence, Real-Time Material Tracking, and Waste Analytics modules.
Payment terms, fees and schedules are defined in your individual service contract. All fees are quoted exclusive of applicable taxes. Payment terms and conditions are confidential to each engagement.
We guarantee minimum 30% material waste reduction within 90 days of go-live. If not achieved, we continue optimising at no additional cost until the guarantee is met. Guarantee is void if client fails to provide accurate data, access, or follow platform recommendations.
Both parties agree to keep confidential all business, technical and operational information shared during the engagement. This obligation survives termination of the contract for 3 years.
Our total liability shall not exceed total fees paid in the 12 months preceding the claim. We are not liable for indirect, incidental, or consequential damages. These limitations do not apply to gross negligence or wilful misconduct.
Disputes resolved through good-faith negotiation, then mediation if necessary. Applicable local law governs these terms.
Questions about these terms: contact@automatizasolutions.com
Report vulnerabilities: contact@automatizasolutions.com - Subject: Security Disclosure
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