When manufacturing furniture, appliances, power tools or any other consumer products, companies need to grow while operating in an environment where consumer’s service, product and delivery expectations are changing. Intense global competition, product proliferation, demand volatility, rapidly changing regulations, and unstable supply drive the market. Durable goods manufacturers need an always-on view of supply and demand to pivot products and inventories as market conditions shift.
The Atlas Planning Platform addresses the demands of durable goods supply chains with rich market analysis, demand sensing, and real-time scenario planning. Our single unified platform uses advanced analytics and machine learning to automate planning and integrate structured and unstructured data in real-time helping to model changes as market conditions evolve. These insights develop transparent and resilient supply chains that deliver high-quality, differentiated products at the prices and service levels consumers demand.
Durable goods manufacturers require a robust and predictable supply chain that quickly adapts to market changes. With Atlas Planning Platform, manufacturers can collaborate with suppliers to shorten lead times and maximize margins Use end-to-end planning and automated machine learning to mitigate risks and embrace opportunities.
Durable goods manufacturers carry extensive inventories in multiple distribution centers. They face off daily against global demand, competitive pressures, fickle customer preferences, and rapid product innovation. End-to-end visibility into the supply chain helps manufacturers plan, forecast, track, and identify strategies that optimize their supply chains. Connect to suppliers to gain end-to-end visibility and leverage demand sensing to position inventory more accurately across a multi-tier network. Atlas uses advanced planning capabilities powered by machine learning to optimize multi-echelon inventory levels and help reduce costs.
Our advanced planning capabilities powered by automated machine learning deliver real-time insights and helps manufacturers finetune inventory policies to ensure product availability and reduce obsolete and markdown items. Inventory levels must match changing consumer demands, product additions or retirements, and sales promotions. Atlas Planning Platform helps improve forecast accuracy and provide the visibility needed to make better planning decisions by applying advanced analytics to drive trends, patterns, and probabilities across broad product portfolios.
Consumer durable manufacturers must manage increasing complex product portfolios. They need to tightly synchronize supply and demand to optimize material, inventory, production and distribution assets. Atlas helps companies grow and manage complexities. Our platform helps you move away from manual-intensive approaches and model complexities to shorten lead times, optimize inventory, and prevent margin erosion.
Kate Hackett, Manager of Forecasting