La Ban Foods
FCast™ helps LaBan Foods make weekly forecasts. Immediate product decisions can be taken, as the current stock and the anticipated sales for the coming 3 weeks are presented in FCast™. LaBan Foods also has Production Planner as add-on to FCast™, in which the production can be planned immediately based on forecasting. As this planning tool contains information about such things about the risk of no-sales and the expected costs of retaining stock, they can see at a glance what a production decision will mean. For LaBan Foods, using this extensive version of FCast™ means:
Bieze Food Group
FCast™ uses historic data from Bieze Food Group and is a self-learning model that makes accurate forecasts of daily sales, up to 91 days in the future. Bieze Food Group finds the following FCast™ elements to be particularly helpful:
Bieze Food Group uses FCast™ to predict daily sales and determine production. This streamlines the production process, no-sales and spoilage are minimised, and policy decisions are more data-driven. This provides more financial and general peace of mind in the organisation.
Van Gogh Museum
The Van Gogh Museum uses FCast™ to forecast weekly visitor patterns.
Depending on the season, the weather and visitor mix, they can determine how many visitors they can expect per quarter. It is possible that, as a result of the forecasts, certain sales channels will need to be closed or people may need to be stimulated to visit the museum at less busy times of the day. FCast™ also calculates the expected museum visit duration. Depending on the weather and visitor nationalities, we have found that this visit duration can vary from 100 to 130 minutes. The number of last-minute entries that can be permitted depends on knowing this.
Among other benefits, using FCast™ has ensured that the Van Gogh Museum has a solution for queues at the museum door. Early intervention and being able to sell tickets in a targeted way enables better visitor distribution throughout the day. Insight into museum visit duration helps the museum estimate the maximum ticket sales. This enables the Van Gogh Museum to operate in accordance with the ideal combination of high visitor numbers and a positive visitor experience.
Gazelle
FCast™ predicts future sales for Gazelle based on historic patterns. They use this to take decisions on production and strategy. FCast™ presents:
Gazelle uses FCast™ to obtain long-term insights into patterns on the bicycle market. The data-based decisions that flow from this offer peace of mind in the organisation and production process. FCast™ enables creative, financial, organisational and production processes to be based on documented data findings.
