Use Cases

Based on our experience, we showcase examples developed through a blend of open-source technologies, custom applications, and tailored code, providing flexible and transparent solutions fully aligned with our clients’ needs

Manufactoring

We help manufacturing companies transform production data into actionable insights. From machine integration to quality monitoring, we build pipelines and dashboards that increase efficiency, reduce downtime, and support data-driven operations.

Production

Performance

We monitor production line efficiency in real time by integrating data from machines, MES, and ERP systems. Dashboards and standard KPIs help identify bottlenecks and improvement opportunities instantly.

Downtime Tracking and

Analysis

We can collect and classify machine downtime by cause, duration, and production line.

Downtime analytics reduce unplanned stops and allow faster, more targeted interventions on critical areas.

Quality Monitoring and

Scrap Reduction

We connect production data, machine parameters, and quality checks to detect defects, anomalies, and hidden trends reducing scrap and rework thanks to immediate insights and predictive analysis.

Predictive Maintenance and Demand Planning

We develop forecasting models based on historical sales, seasonality, and market trends.

This leads to more accurate demand planning and optimized inventory levels, reducing both stock-outs and overstock situations.

Retail and E-commerce

We support retailers in understanding customer behavior, product performance, and operational efficiency. By integrating online and offline data, we enable better decisions on marketing, inventory, and pricing.

Demand

Forecasting

We build forecasting models using historical sales, holidays, seasonality, promotions, and external data.

This supports more accurate planning for production, procurement, and inventory management.

Reduced stock-outs and overstock
Smoother supply chain operations
Better cash flow management
Higher service levels

Pricing and

Competitor Monitoring

We can collect competitor prices, promotions, and stock levels to support dynamic pricing strategies.

Retailers can adjust pricing in real time to remain competitive and maximize margin.

Real-time competitive advantage
Margin optimization
Faster reaction to market conditions
Improved pricing strategy

Customer

360

We can integrate data from CRM, e-commerce, store systems, marketing tools, and customer support to create a unified view of each customer.

This enables segmentation, personalized campaigns, and better understanding of lifetime value.

One single source of truth for customer data
Personalization and targeting
Stronger customer retention

Website Analytics and

UX Optimization

We combine web analytics, heatmaps, funnels, and A/B testing to understand user behavior and improve conversion rates.

Insights reveal friction points, slow pages, and conversion drop-offs.

Higher conversion rate
Improved user experience
Faster checkout and reduced abandonment
Increased revenue per visitor

AI Innovation Support

This stream is dedicated to helping organisations harness the power of artificial intelligence to optimise data‑driven operations. It provides tools and frameworks to ensure data quality through real‑time anomaly detection, deliver advanced forecasting and analytics to anticipate trends, and automate the tedious steps of data ingestion and transformation.

Automated Knowledge Retrieval

AI-powered Retrieval-Augmented Generation enables employees to instantly access any internal knowledge procedures, technical documentation, contracts, manuals, and reports through natural language queries.

Faster access to internal knowledge
Consistent, reliable answers
Reduced dependency on subject-matter experts

Intelligent Data Quality and Anomaly Monitoring

Continuously monitors datasets and pipelines to detect anomalies, missing updates, data drifts, or inconsistencies.

It automatically alerts teams, reducing manual checks and preventing incorrect insights or decisions.

Automated quality control
Early detection of issues
Increased trust in operational data

Predictive Analytics and Forecasting

AI identifies hidden patterns and future trends to support proactive planning across sales, operations, finance, and supply chain.

From KPIs to resource needs, forecasts become more accurate and timely.

Data-driven planning
Reduced operational risks
Better allocation of resources

Process Automation and

Decision Support

AI automates repetitive tasks such as data classification, reporting, and enrichment, while also providing recommendations based on historical and real-time data.

This frees up team capacity and improves the quality of operational decisions.

Lower operational workload
Faster, smarter decision-making
Scalable processes across the company

B2B SaaS

We help B2B SaaS companies centralize product usage data, automate data pipelines, and improve customer journeys through analytics, experimentation, and integration. Our solutions support product growth, reduce churn, and enable precise decision-making across product, marketing, and operations teams.

Product Analytics and

Usage Insights

Integration of event data, user interactions, subscriptions, and feature usage to build a complete understanding of how customers use the product.

Most/least used features
Engagement by segment
User cohorts & lifecycle stages
Friction patterns in onboarding
Weekly/Monthly Active Users

Decisions are based on real user behavior, enabling product teams to prioritize what truly matters.

A/B Testing and

Experimentation Framework

A full experimentation setup that allows teams to test new flows, features, or UX changes and measure their impact on growth and retention.

Onboarding flow A vs B
Pricing page variants
Feature placement experiments
Email drip campaigns variations
Recommendation algorithm comparison

SaaS teams make data-driven improvements that directly increase activation and conversion rates.

Data Pipelines and

Data integration

Centralized data warehouse (BigQuery, Snowflake, Redshift) with automated ingestion from product APIs, CRM, billing systems, and internal databases.

Typical integrations:

Stripe / Paddle (billing)
HubSpot / Salesforce (CRM)
Segment / Mixpanel / Amplitude (tracking)
Custom product APIs
Support tools (Zendesk, Intercom)

All data lives in one place, structured, clean, and ready for analytics or AI.

Alerting

Framework

To continuously monitor data pipelines, datasets, and business-critical KPIs.

The system detects anomalies, missing updates, inconsistencies, and quality issues ensuring that teams are immediately notified when something requires attention.

Our framework integrates seamlessly with existing data platforms and supports multiple notification channels such as email, Slack, Teams, and automated incident systems.

Our Data Alerting Framework helps organizations ensure reliability, prevent bad decisions caused by faulty data, and drastically reduce the time spent debugging errors.

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