Discrete manufacturing
Machined parts, assemblies and components — output, rework and on-time delivery by line.
Industries
Manufacturing
Plants generate data every minute — from machines, quality checks, stores and dispatch — yet most of it reaches management days later in a spreadsheet. Azico helps manufacturers turn that flow into same-day visibility of output, quality and cost.
Systems we connect
- Any ERP: SAP, Oracle, Microsoft Dynamics, Tally
- MES & SCADA historians
- PLC and sensor feeds
- Quality & lab records
- Excel and shared drives
Using a different ERP or a third-party or in-house platform? We connect to it through its standard connectors, APIs, database access or scheduled file exports.
Who we work with
Built for manufacturing teams
We work with owner-led and mid-sized manufacturers — engineering, auto components, chemicals, food processing, textiles — usually with more than one plant or line.
The person asking for better numbers is typically the plant head, operations director or finance controller. IT is involved, but stretched.
How Azico can help
From scattered records to decisions
- Connecting machine, quality and ERP data so production, scrap and downtime are visible by shift rather than at month-end.
- Building OEE, yield and cost-per-unit views that reconcile to your books, with a named owner for each measure.
- Forecasting demand and spare-part consumption, and automating routine reports to customers and auditors.
Our promise to every client
“We start on your shop floor, not in a slide deck. Before proposing anything, we map where each number in your daily report actually comes from.”
Areas we cover
Where we help in manufacturing
Process industries
Chemicals, food and pharma intermediates — batch yields, energy use and quality parameters.
Plant maintenance
Downtime causes, maintenance history and early warning of failures.
Supply & stores
Raw-material consumption, inventory ageing and supplier performance.
An illustration
How a first project could look
This shows how we would structure the work — it is not a project we have delivered. The figures are targets we would agree with you at the start and measure against at the end.
How it runs now
- —Shift reports written on paper and typed in next morning.
- —OEE calculated monthly by one engineer.
- —Scrap reasons recorded differently on each line.
- —Management sees last week, not today.
How it runs after
- +Machine and quality data captured automatically each shift.
- +OEE by line and shift, refreshed hourly.
- +One list of scrap reasons used everywhere.
- +A daily summary in the plant head’s inbox by 8am.
Production visibility: next morning → same shift
Target, agreed at the start
Solutions
Solutions for manufacturing
Services most used
The service lines behind this work
Platforms, pipelines, operations, projects
Big data engineering
Large and fast-moving data, landed reliably in one platform and put to work on operations.
- Data lakes & real-time pipelines
- Cloud platforms
- Supply chain excellence
- Operational excellence
- Capital project support
- + 2 more
Dashboards, market & competitive intelligence
Business intelligence & visualization
Weekly insights that bring market trends and competitive intelligence together in one clear view.
- Dashboards & reporting
- Market research & intelligence
- Competitive intelligence & market share
- Cost & capability benchmarking
- Pricing excellence
- + 2 more
Forecasts, scenarios, risk, economics
Advanced analytics & predictive AI
Actionable forecasts, scenario analysis and risk assessments, backed by transparent ranges.
- Predictive & machine-learning models
- Supply, demand & price forecasts
- Scenario planning & war gaming
- Risk assessment
- Upstream country assessment
- + 2 more
Insights
Related insights
Explainer · 6 min read
What is a data pipeline?
How a data pipeline carries figures from plant, terminal and trading systems into one reliable store, and the signs that your business needs one.
Read now →Perspective · 4 min read
Why dashboards go unread
Dashboards earn daily use when each one supports a specific operational or commercial decision. This is how to design them that way.
Read now →Explainer · 5 min read
Do you need a data warehouse?
Why a single governed warehouse matters once production, trading and finance data live in separate systems, and when to build one.
Read now →Tell us how manufacturing numbers flow in your business today.
Azico Analytics is a Bangalore-based team of experienced data professionals. Share how your data is managed today, how your reports are produced and the challenges you face. We will assess your requirements objectively and set out where we can add value, with a practical approach tailored to your business.