Effective demand management is critical to the financial performance and health of an organisation. As the digital revolution in the consumer environment continues, a linear approach to supply chain planning is gradually giving way to ecosystem thinking. Consumers buy in an entirely new way. Goodbye catalogues, hello one-click checkout. To keep up, organisations need the ability to manage increasing digital complexities to plan accurately in real-time.
Digital Demand Management: The New Normal
Digitising your organisation will give you the data you need to sense, shape, and respond to demand changes in real-time. This will also allow you to apply statistical algorithms to derive more accurate demand forecasts.
To improve accuracy, organisations need to analyse causal factors from increasingly complex digital data sources that influence demand, across the organisation, to determine and manage variability from baseline demand.
Digitisation also facilitates connected collaboration and helps apply process control techniques to manage and improve demand forecasts.
Why is this a Competitive Imperative?
The connected age calls for a new digital demand management system. One that can effectively;
Tap into the new digital sources of data from external partners.
Manage data from various fragmented functions.
Apply advanced predictive and prescriptive analytics methods.
Provide a more accurate, actionable demand forecast.
Introducing digital demand management with the Anaplan platform: a collaborative approach that can keep up with omnichannel demand.
Demand Management by Anaplan provides data-driven demand forecasting functionality and helps enhance cross-functional human insights to achieve a consensus demand plan.
Empower demand planners to sense market changes, forecast confidently, and shape the demand plan to changing market conditions by leveraging flexible models and calculations.
There’s a Better Way to Plan
Increase Forecast Accuracy and Reduce Bias:
Leverage statistical forecasts and track accuracy of forecast value-adds from stakeholders.
Incorporate internal and external market data, and other leading indicators of demand.
Utilise machine learning for better demand predictions.
Optimise New Product and Promotion Plans:
Plan new products with curve-fit modelling and scenarios based on like products.
Collaborate on new products to align launch plans and pricing with sales and marketing.
Model and integrate promotions directly into your demand planning cycle.
Key Benefits:
Improve accuracy of regular-turn, new products, promotions, and intermittent products with intuitive modelling and automated forecasting methods.
Segment products and predict forecast with adjustable rules and pick-best statistical algorithms.
Understand forecast changes and drivers of change with forecast analytics.
Collaborate faster and more easily across departments and customers with optimised user experience and flexible modelling.
Integrate demand plans with legacy systems with pre-built connectors and API’s.
Implement in record time with a cloud-based, pre-built app that can adapt over time.
Achieve Consensus and Align to Financial Goals
Collect stakeholder forecasts at any level.
Define consensus-building rules leveraging inputs from customers and internal departments.
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