Leverage automation and machine learning in financial planning

• Leverage Atlas’ AI engine to conduct powerful what-if analysis on operational performance, demand plan changes, and supply chain responses
• Automate financial planning processes such as budgeting, forecasts, annual operating plans, profitability and revenue plans, inventory and cash flow models, cost-to-serve models, and performance reports
• Autonomously compare best, worst, and most likely scenarios with more accuracy and efficiency

Connect financial planning to the rest of your organization and IBP/S&OP process

• Leverage a unified data model that brings together data and plans for demand, supply, capacity, and finance
• Collect team knowledge and input across a user-friendly cloud-based environment
• Link finance with real-time operational events and tactics
• Make faster decisions by connecting financial and operational plans like capex and facility plans

Produce accurate and timely financial models and reporting

• Increase revenue forecast accuracy by integrating:
• Demand planning
• Insights from customer’s buying needs
• Bottom-up planning
• Comparisons of top-level models by channel, brand, and region
• Build a plan to maximize profit by accurately incorporating bottom-up supply side constraints and costs
• Save time by eliminating manual processes caused by spreadsheets and legacy planning systems
• Save time by eliminating manual processes caused by spreadsheets and legacy planning systems
• Create accurate financial reports including:
• Budgeting and forecasts
• Annual operating plans
• Profitability and revenue plans
• Inventory and cash flow models
• Performance reports (performance compared to plan)
• Cost-to-serve models
• Pricing models
• Transform granular S&OP planning data so it can be consumed by the financial plan