SCY Demand Planning
Forecast smarter. Plan faster. Deliver better.
Build a demand-driven supply chain with AI-powered forecasting.
Combine statistical and machine learning forecasts with collaborative planning to balance supply, reduce volatility, and improve service levels — all in one unified platform.
Problem Statement
Many organizations still rely on spreadsheets or siloed tools for demand forecasting — leading to stockouts, excess inventory, and misalignment across departments.
Disparate data and delayed insights make demand planning reactive instead of proactive.
Impact: 70% of companies report lost sales opportunities due to inaccurate forecasts and poor cross-functional visibility.
Solution Overview
SCY Demand Planning brings intelligence, collaboration, and accuracy to forecasting.
It combines statistical models, AI/ML algorithms, and consensus planning to generate reliable, real-time demand signals. Planners can model “what-if” scenarios, align across functions, and correct biases dynamically.
Unlike traditional tools, it integrates sales, marketing, and supply data seamlessly, transforming demand planning from a static process into a dynamic, data-driven capability.
Key Features & Capabilities
- ML & Statistical Forecast Engine
- Generates accurate forecasts using time-series models and AI algorithms.
- Multi-Level Aggregation & Drill-Down
- Plan across regions, categories, SKUs, or customers with hierarchical flexibility
- Consensus & Collaborative Planning
- Unify Sales, Marketing, and Operations on a single forecast.
- Causal & Event-Based Planning
- Account for promotions, seasonality, and external factors to refine forecasts.
- Scenario Simulation & What-If Analysis
- Test pricing, promotion, and market scenarios for better agility.
- Low-Code, Seamless Integration
- Connect with ERP, CRM, POS, and external systems for automated data sync.
Impact
Forecast Accuracy
15–25% higher forecast accuracy, reducing stockouts and overstock situations.
Inventory Costs
Released millions in tied-up capital
Functional Alignment
Single source of truth across Sales, Marketing, Finance, and Supply Chain.
Reduced WIP
Lower WIP and finished goods inventory with up to 40% reduction in cycle time through automation.
Planning Cycles
Accelerated planning cycles to consistently meet customer demand.
Applications
- Retail & E-Commerce: Forecast seasonal peaks and promotions accurately.
- Manufacturing & CPG: Balance production with real-time demand.
- Distribution & Wholesale: Optimise replenishment and logistics planning.
- Pharma: Align supply with market demand and expiry constraints.
Compatibility
- ERP & SCM Platforms: SAP, Oracle, Dynamics
- MES / Shop-Floor Systems: Real-time data synchronisation
- CRM & POS Systems: Salesforce, Shopify, custom APIs
- Analytics Tools: Power BI, Tableau
- APIs & Data Pipelines: Python, REST, flat files
Improving Forecast Accuracy for a Leading Consumer Goods Brand
A global CPG firm with 1,200+ SKUs faced recurring stockouts and excess inventory due to fragmented planning across departments. By deploying SCY Demand Planning, it integrated five years of sales data, POS feeds, and promotional calendars into a unified AI-driven forecasting platform.
Within six months, forecast accuracy improved from 72% to 90%, inventory dropped 12%, and planning cycle time reduced by 40%.
Cross-functional collaboration grew by 25%, boosting sales by 6% and ensuring consistent product availability across 20+ regions.