finance-b2b
Ypf Core Link Delivers Forecasting Excellence
Planning leaders gain insight-driven tools for superior retail outcomes.
- E-commerce Directors optimising online inventory
- Supply Chain Leads reducing stock imbalances
- Executive Sponsors seeking growth through insights
Roles Driving Forecasting Excellence
Engagements define accountability for sustained accuracy.
Persona
E-commerce Operations Leads
Managers handling fast-moving online demand patterns.
Persona
Supply Chain Directors
Executives balancing stock levels with service targets.
Executive Reporting
Board-Level Evidence
Higher forecast accuracy
Reduced MAPE driving optimal inventory levels.
Successful product launches
Data-driven NPI with quantified cannibalisation impact.
Revenue growth capture
Exploited demand patterns and reduced lost sales.
Program Range
Available Engagements
Select matching planning priorities.
Machine Learning Forecasting
Outcome: optimal inventory, successful launches and maximised revenue
- In-depth analysis of historical sales patterns and drivers
- Collaborative workshops building precision ML models
- Sustainable forecasting platform with governance
New Product Introduction Planning
Outcome: optimal inventory, successful launches and maximised revenue
- In-depth analysis of historical sales patterns and drivers
- Collaborative workshops building precision ML models
- Sustainable forecasting platform with governance
Cannibalisation Analysis
Outcome: optimal inventory, successful launches and maximised revenue
- In-depth analysis of historical sales patterns and drivers
- Collaborative workshops building precision ML models
- Sustainable forecasting platform with governance
Our Methodology
We uncover truth through rigorous analytics, ML precision and practical planning.
Data & pattern diagnostics
We uncover historical drivers, anomalies and growth signals.
Model & scenario design
Workshops build ML forecasts, NPI plans and cannibalisation models.
Implementation & governance
Rollout delivers automated tools with sustained accuracy monitoring.
Data & pattern diagnostics
We uncover historical drivers, anomalies and growth signals.
Delivery Framework
Four Primary Phases
Structured progression ensures measurable advancement.
Phase 1
Model Development
Building ML forecasts with retail-specific features.
Phase 2
Scenario & NPI Planning
Cannibalisation analysis and launch simulations.
Phase 3
Deployment & Monitoring
Platform rollout, training and ongoing refinement.
Phase 4
Diagnostic Review
Assessment of current data, models and accuracy gaps.
Friction signals
Common Demand Forecasting Challenges
We reveal hidden inaccuracies limiting inventory efficiency and growth.
Fragmented data sources
Sales, promotions and external factors not integrated.
Manual scenario limitations
Slow analysis prevents agile response to market changes.
Missed growth opportunities
Hidden demand patterns remain unexploited.
Inaccurate baseline forecasts
Traditional methods miss seasonality and trends, causing imbalances.
Frequently Asked Questions
Common inquiries from planning leaders on forecasting.
Ready to Unlock Precision Demand Insights?
Book an assessment—we will analyse your data patterns and growth potential.
Schedule Review