Develop intelligent, forecast driven merchandise financial plans and manage Open-to-Buy budgets efficiently.
Comparisons with OP, LY, and other plans to gauge the variance and plan as per the Go-To-Market strategy.
Move from static spreadsheets to scenario modeling, budgeting, forecasting, and revenue planning with a solution that leverages unlimited data and AI.
Generate optimized plans based on key constraints and strategic objectives (Target GM, EOP/BOP, ST, Choice Counts, etc.)
Create multiple what-if scenarios to finalize the best plan and create versions for each scenarios for easy comparison and decision-making.
Pre-Season & In-season planning
Plan well in advance of a season, 6-month or 1 year and also plan within the season with robust In-season planning module that gets auto-updated based on most recent re-forecasted data.
Planning flexibility across channels, regions & product hierarchy. Improves the quality and efficiency of the planning by enabling omni-channel visibility.
Top-down & Bottom-up plans
Flexibility to build plans at higher hierarchies and trickle them down or aggregate plans from the most granular levels – enables plans to automatically percolate through the product hierarchy to have one source of truth.
Get detailed information on the latest trends in the market, technology, and how your peers are solving their biggest financial planning challenges IA’s advanced merchandise planning solutions.Learn More
Benefit from our end to end solutions at the outset, or add more as you see the difference we make.
Drive ground-breaking growth with powerful merchandise financial planning technology
Is your business struggling to meet top-down targets with bottom-up financial forecasts? Your business needs a one-stop solution to create and manage merchandise financial plans. Leverage PlanSmart - the most powerful AI-based merchandise financial planning platform, designed to streamline your revenue planning, upgrade channel, sales, finance, and product marketing for definite plan collaboration and optimized margin performance.