Forecast
Forecasts to support day-to-day planning
&UP® Forecast uses historical and operational data to help plan volumes and prepare the resources needed to fulfil future orders well in advance.
Forecasts tailored to different levels of planning
- short-term forecasts for dispatchers and shift managers
- weekly and monthly planning for operational teams
- a longer-term perspective for decisions on network resources and development
- estimates for parcels, pallets, bulky items and other categories of consignments
- analysis of volumes, workload and resource requirements
- a single source of data for operations, planning and management
Key features of the module
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Book a consultationBenefits of implementation
Preparing resources in advance
Forecasts enable us to contract carriers and plan sorting centre staffing levels before the workload increases.
Fewer emergencies
Rather than reacting to a spike in volume on the day of the event, the organisation plans a month and a week in advance.
Measurable quality of planning
Measuring the accuracy of forecasts enables us to continuously improve our models and planning processes.
Data for negotiations with customers and carriers
Network load forecasting as a strong sales argument.
The forecasting layer for the entire &UP® platform
The Forecast module can operate as a standalone forecasting tool or as an integral component of the &UP® platform.
The open API also allows for integration with the customer’s external TOS and TMS systems, provided the &UP® platform is implemented using a modular approach.
How does it work?
See what the workflow looks like.
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1
The module retrieves historical data from the &UP® platform and from the client’s external systems (ERP, CRM, WMS).
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2
Forecasting algorithms analyse trends, seasonality, campaigns and one-off events, generating forecasts across various time horizons.
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3
Authorised planners verify, amend and version the forecasts in accordance with their expert knowledge of planned events.
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4
Forecasts are available in other modules of the platform and can be exported to the client’s external systems.