Predictive Models for data-driven decisions that optimize marketing, pricing and inventory
Forecast
eCommerce business challenges
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Unsure how to optimize your ad spend across channels?
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Want to understand the impact of pricing and promotions on your sales?
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Struggling to predict demand and plan inventory for sales peaks and valleys?
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Finding it difficult to adapt quickly to changing market conditions?
At Graas, we specialize in helping eCommerce companies transform uncertainty into opportunity through AI-powered predictive models.
Forecast – Leverage historical data to answer 'what-if' scenarios and optimize your marketing, pricing, and inventory decisions.
The cost of uncertainty in eCommerce
Cost of
Traffic
10-40% of revenues spent on ads with unclear ROI, leading to wasted marketing budgets and missed growth opportunities.
Pricing & Promotions
70% of GMV comes from 30% of products.
Mega sale days account for 40% of yearly GMV, making optimization critical for profitability.
Inventory Management
Balancing stockouts vs overstock directly impacts working capital and customer satisfaction.
How Forecast transforms your decision-making
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From scattered ad spending to optimized budget allocation for higher ROI.
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From guesswork pricing to data-driven price elasticity models that balance growth and profit.
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From reactive promotions to strategically designed campaigns with predictable impact.
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From inventory imbalance to optimized stock levels that preserve capital while ensuring availability.
What we deliver
Predictive
Models
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Tailored forecasts for GMV
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SKU-level demand trends
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Channel-wise predictions
Sensitivity
Dashboards
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Price vs Sale
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Ad Spend vs Sale
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Promotions vs Sale
What-If
Simulations
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Test pricing strategies
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Evaluate promotion scenarios
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Optimize ad spend allocation
See the power of Forecast in action
Our models provide specific, actionable insights that drive measurable business results.
Below is a sample of how Forecast helps optimize ad spend across channels and categories:
This simulation shows how a 10% change in ad spend would impact sales across different channels, categories, and days - allowing you to make precise budget allocation decisions.
Demand Forecast
Revenue Forecast
