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Forecasting for future demand is dependent on unpredictable factors such as weather, shipping routes, or global events. Demand Forecasting and Planning solutions use machine learning (ML) algorithms built with internal and external data sources, including macroeconomic data and retailer history. These ML algorithms generate high-quality forecasts through “what-if” simulations to help marketing, finance, and other stakeholders align on capacity planning.
ketteQ's customers use their suite of microservices built on Salesforce and AWS clouds to integrate and automate sales and operations for use cases in both product and service supply chains.
o9 Solutions offer AI and knowledge-powered planning & decision-making platform, enabling a truly Integrated Business Planning (IBP) capability for driving supply chain agility, revenue growth, and optimal financial performance.
IBM Planning Analytics as a Service is a fully managed, collaborative, enterprise-scalable budgeting, planning, analytics, profitability, modeling and reporting solution deployed on AWS. These applications are supported by the highly available Planning Analytics in memory engine that provides on-demand analytics of complex multidimensional data in real time.
This application allows you to accurately forecast inventory levels on products or materials despite unpredictable demand. Peak’s AI models help you hit the perfect levels of service and inventory, meaning you don’t miss out on a sale.
The solution forecasts future demand based on historical, internal and external demand signals. Decision makers are presented with Forecast predictions, demand drivers, and scenarios based on pricing, promotions, and assortment inputs, to confidently make supply chain and financial decisions.