Here is a detailed description of how Proqnostix conducts forecasting projects across multiple industries, tailored to the unique demands of each sector. These descriptions are grounded in real-world partnerships and use cases with companies like Mediacom, Vodafone, DHL, Dubai Sports Channel, and Universität Hamburg, among others.
Our Project Approach Across Sectors
At Proqnostix, our project methodology is always adaptable, modular, and stakeholder-focused. Across all sectors, we apply our Forecasting Lifecycle Framework, tailored to specific data landscapes, regulatory environments, and business objectives.
1. Marketing & Media Intelligence
Clients: Mediacom, Infas 360
Objective
Enhance campaign planning, media allocation, and customer insight through predictive and anticipatory analytics.
Approach
- Scoping: Define campaign KPIs (e.g., reach, conversion, sentiment) and regional segmentation.
- Data Sources: Ad-spend data, media inventories, social media signals, CRM, survey data (from Infas 360).
- Methodology:
- Regression models for ROI estimation
- Time series for campaign lift prediction
- Survey-based sentiment forecasting (via ProqnoSurvey™)
- AI-powered media mix optimization
- Deployment: Dashboards for planners (PowerBI, Tableau) with scenario testing.
Outcome
Real-time decision support for budget allocation, trend anticipation, and A/B test forecasting.
2. Telecommunication
Client: Vodafone
Objective
Improve demand forecasting, churn prediction, and rollout planning for 5G infrastructure.
Approach
- Scoping: Focus on churn hotspots, product uptake, and regional service loads.
- Data Sources: Subscriber logs, CRM, call detail records, device telemetry.
- Methodology:
- LSTM & Temporal Fusion Transformers (TFT) for usage forecasting
- Bayesian models for churn prediction under uncertainty
- Cluster-based market segmentation using unsupervised learning
- Real-time alerting with ProqnoStream™
- Integration: Azure Data Factory, Tableau, and ProqnoStack™ for MLOps.
Outcome
Precise forecasting for demand peaks, proactive customer retention, and location-based investment planning.
3. Logistics & Supply Chain
Clients: LSG Sky Chefs, DHL
Objective
Forecast product demand, optimize warehousing and improve last-mile efficiency.
Approach
- Scoping: Meal demand on flight routes (LSG), parcel flows by region (DHL).
- Data Sources: POS systems, seasonal schedules, weather data, tracking sensors.
- Methodology:
- Hierarchical forecasting (e.g., route → airport → continent)
- Real-time forecasting using streaming data (Kafka + Spark)
- Ensemble methods combining ARIMA, XGBoost & expert rules
- Deployment: Custom dashboards with alerting for anomalies and trend shifts.
Outcome
Minimized food waste (LSG), improved load balancing and staff allocation (DHL).
4. News, Media & Lifestyle
Clients: Dubai Sports Channel, L’Oréal, ask-a-woman.com
Objective
Forecast content demand, optimize campaign timing, and understand consumer intent.
Approach
- Scoping: Content viewership trends, influencer reach, seasonal beauty trends.
- Data Sources: Streaming metrics, e-commerce behavior, survey data, search trends.
- Methodology:
- Behavioral forecasting via anticipation surveys (ProqnoSurvey™)
- Time-series sentiment analysis of social media
- Event-based demand shifts modeled with attention-based Transformers
- Integration: Real-time dashboards and content calendar synchronizations.
Outcome
Boosted engagement through precise campaign planning and trend anticipation, reduced inventory lags.
5. Higher Education & Research Institutions
Clients: Universität Hamburg, International School of Management (ISM), Euro-FH
Objective
Forecast student enrollment, course demand, dropout risk, and optimize program planning.
Approach
- Scoping: Define academic planning cycles and forecasting horizons.
- Data Sources: Enrollment histories, student feedback, LMS data, demographic statistics.
- Methodology:
- Markov chains & survival analysis for dropout prediction
- Scenario-based simulations for capacity planning (ProqnoSimLab™)
- Qualitative futures studies for curriculum development
- Deployment: Dashboards for deans/program managers; integration with SIS and Moodle.
Outcome
Data-informed strategic planning, enhanced academic offerings, reduced dropout rates.
Project Lifecycle: How We Work
Each project follows a structured yet flexible lifecycle:
- Scoping & Requirements Analysis
- Joint workshops with stakeholders
- Alignment on metrics, timelines, and constraints
- Data Audit & Engineering
- Source validation, feature extraction, and gap handling
- Model Development & Evaluation
- Iterative modeling with quantitative, AI, and hybrid methods
- Transparent validation with business users
- Deployment & Integration
- Custom APIs, dashboards, or full-stack MLOps solutions
- Training for internal teams and change management
- Monitoring & Continuous Optimization
- Drift detection, retraining, and feedback integration
Sector-Specific Excellence
| Sector | Specialization | Compliance Focus |
|---|---|---|
| Marketing | Media mix, ROI prediction | GDPR, ISO 27001 |
| Telecom | Subscriber analytics, churn modeling | GDPR, Telco Regulations |
| Logistics | Multilevel time series, routing optimization | Supply Chain Transparency Acts |
| Media & Lifestyle | Content & trend forecasting | IP and licensing frameworks |
| Higher Education | Enrollment & curriculum foresight | DSGVO (GDPR for education) |