Forecasting is a complex process requiring input from Human Intelligence, Organisational Decisions and Technology Enablement.
Human Intelligence is the context and experience your people bring to forecasting as well as the understanding of impacts from external factors such as change in regulation, competitor insight and experience.
Organisational Decisions are the changes your organisation has chosen to make to production, pricing, resourcing etc. Some of these will be visible to your planning process, but some processes & data may no be online. Material online & offline decisions should be visible to your forecasting process creating another potential human interaction.
Technology provides a way to manage and control the human interaction with your forecasting process, and to take out resource cost, re-work and elapsed time from your planning whilst increasing forecast accuracy and range.
We provide "Forecasting as a Service" (FAAS) including:
- Data Preparation: Normalisation/Standardisation, Feature Recognition, Anomaly Detection, Holiday Identification, Dynamic Time Warping & Data Transformation
- Forecasting: including a range of Advanced Statistical, Neural Network & Machine Learning algorithms
- Evaluation & Explainability: What are the factors that drive the outcomes in your forecast
- Integration in to your system landscape
Further Information:
- Can you show me a Forecasting Example?
- What algorithms do we support?
- How we can assess your current forecasting accuracy?