Be Greater than the Sum of Your Parts
Intelligent Inventory, Collaborative Suppliers, and Demand Sensing Create a Competitive Edge
As your parts portfolio grows, balancing service and cost with changing customer preferences, stricter sustainability regulations, and fluid tariff policies becomes a daunting challenge.
Powered by machine learning, the Atlas Planning Platform uses rich market data analyses, demand sensing, and real-time scenario planning to tame your complex aftermarket supply chain portfolio.
With unrivalled end-to-end visibility you can better collaborate with suppliers on developing more resilient supply chain networks and minimize risk by predicting disruptions before they have a chance to adversely impact your business.
Atlas Supplies Key Parts of Your Aftermarket Planning Advantage
- Think Faster to Respond First
The aftermarket parts challenge is multi-tiered: first you must balance erratic and intermittent demand, then optimize finished goods stock while rationalizing inventory by cost, margin contribution, storage capacity, service levels, and supplier lead time.
Atlas lets your team conduct in-depth “what-if” scenarios and simulations to drive fast, precise decisions
Our multi-echelon inventory optimization (MEIO) right-sizes buffer stocks for superior cost and service
More accurate forecasting across the entire product portfolio of both fast and slow-moving items helps optimize service levels
Granular analysis and forecasting at the channel and individual order-line level lets you master long-tail demand
Vendor managed inventory (VMI) capability builds a new level of trust and collaboration with customers.
- Visibility to Collaborate with Everyone
Connecting to dealer networks and retailers gives your team downstream demand visibility and puts demand sensing to work to position inventory more accurately across multiple tiers.
Atlas’s advanced planning capabilities powered by machine learning optimizes inventory levels everywhere to reduce costs and free up working capital while responding to fluctuating tariffs and the ebbs and flows of demand.
In an unpredictable environment, the best defense is a good offense.
Collaborate in real-time through a robust sales and operations planning (S&OP) process
Strengthen relationships through vendor managed inventory programs
Reduce expediting and premium shipping charges through enhanced visibility and more accurate planning
Connect mobile devices across your supply chain and dealer networks to add field intelligence
Quickly sense and respond to changes in demand by harnessing Big Data, telemetry and IoT sensors
- Cut Complexity to Tame Your Tiers
Portfolio complexity grows and grows, driven by multi-year lifecycles, product introductions, retirements, substitutions, supersessions, and more.
Atlas lifecycle management capabilities are geared to the unique product and assortment challenges of the aftermarket industry.
Create alignment across all tiers and regions of your extended supply chain
Improve efficiency and supplier collaboration
Manage huge SKU portfolios by automatically applying multi-dimensional stock policies based on multi-variate segmentation
Reduce costs and mitigate risk by applying advanced machine learning to improve planning
- Predict Precisely to Plan Proactively
Leverage artificial intelligence and automated machine learning to deliver real-time insights to drive your plan.
Advanced machine learning helps you create inventory policies that manage fast- and slow-moving parts, meet changing consumer demands, and reduce expediting costs.
Automate planning of spare parts and materials so your team can focus more energy on strategic initiatives
Stop mis-forecasting products that exhibit intermittent demand
Improve decision making and handle uncertainty better through probability modeling
Optimize inventory for sustained high service levels
Use advanced, accurate demand sensing to pre-position inventory and better serve all your customers