Flowcast is a demand forecasting model designed to handle the practical realities faced by enterprise clients.
Flowcast dynamically tracks the changing effects of all model features through time so that demand forecasts always represent current consumer behaviours.
Flowcast shares insights about all features across product-locations, enhancing forecasting accuracy and customer understanding.
Flowcast easily handles low rate-of-sale product-locations, stock-outs and seasonal ranging as well as weather effects, pricing, promotions and many other effects.
Palama Technologies builds machine learning models as practical, cost-effective tools for enterprise clients. Our roadmap begins with demand forecasting - one of the most critical modelling challenges for large organisations - before extending into related areas such as:
Trialling and profit and loss attribution models for business optimisation.
Pricing, supply forecasting, inventory optimisation and ordering.
Retail-specific models including allocations, end-of-phase clearance and fresh food markdown.
Customer missions, NPD and new store planning for retail growth.
We are keen to hear thoughts and feedback on our product roadmap - please get in touch.
Our machine learning models meet the highest standards in security, scalability, and resilience, ensuring they integrate seamlessly into enterprise workflows.
Composable architecture - models can be linked and deployed effortlessly.
Dynamic feature tracking and insight sharing built into every model.
Secure delivery via cloud-based endpoints with scalable inference at speed.
Ease of use for in-house data scientists, machine learning engineers and software teams.
Palama models are designed not just to meet today’s enterprise needs, but to anticipate future challenges with world-class capability.