Overview

Flowcast is a demand forecasting model designed for enterprise-scale challenges.

Flowcast adapts dynamically to market conditions, ensuring forecasts remain relevant and aligned with evolving customer behaviors.
Flowcast shares insights between product-locations, ensuring efficient use of information.
Flowcast scales automatically to handle millions or tens of millions of product-locations.

Dynamic forecasting

Flowcast continuously tracks changes in all demand drivers, maintaining accuracy without manual intervention. Unlike static models whose assumptions become out-of-date, Flowcast captures and adjusts to shifts in consumer behavior and external factors in real time.

Flowcast doesn't only track the rate-of-sale through time. It tracks the effects of all model features including the shape of trade across the week and the effects of weather conditions on demand. In addition to optimising forecast accuracy this mechanism can also be used to derive timely insights about the current drivers of demand.

Improved inventory accuracy - reducing waste while optimizing availability.
Significantly fewer manual overrides - freeing up valuable time.
Current insights to support decisions on buying, ranging, space and more.

Information sharing

Flowcast intelligently shares insights across products and locations, ensuring demand forecasts reflect relevant trends. If a product’s demand shifts in certain stores, forecasts elsewhere adjust accordingly - anticipating changes before they happen.

Informs stores and products about rising demand patterns in related product-locations.
Shares subtle behavioural changes - like increased sensitivity to particular weather conditions - with products and locations likely to experience similar effects.
Generates demand estimates for new products, new locations and unranged product-locations - powerful insights for NPD and new store planning.

Features

Flowcast integrates calendar effects, pricing, promotions, and other features - each precisely modelled. It recognises local nuances, ensuring demand forecasts align with real-world conditions rather than generic trends.

Localised calendars - accounting for differences in national holidays, school terms, cultural events and more.
Composite seasonality modelling - mapping demand to the correct timing of events rather than assuming repetition of dates from previous years.
Weather modelling that translates weather measurements into overall weather conditions and maps them smoothly onto customer demand behaviours.

Enterprise scale

Flowcast is engineered for large-scale operations, combining speed, robustness and security. Built to integrate seamlessly with enterprise workflows, it delivers dependability at scale.

Get in touch

Flowcast will shortly be available for early adoption. To explore how it can elevate your demand forecasting, contact us.