Digitizing Sales and Operations Management for Global Smartphone brand by implementing an efficient End - to - End system
How a Leading Mobile Brand Transformed Manual Processes into a Fully Digitized Sales & Operations Ecosystem
- AI Models implemented
- Predictive Analytics
- Process Automation
The Challenge
Uncovering the drivers of profit margin deviation
The company’s S&OP lived in hundreds of scattered Excel files and manual reports, so every week teams in sales, supply and distribution spent hours copying, reconciling and fixing numbers for actuals, forecasts, stock and retailer inputs — a slow, error-prone process that created conflicting “truths” and blocked fast decision-making.
Key challenges
- Fragmented, spreadsheet-driven workflows: S&OP lived across hundreds of disconnected Excel files and manual reports, making it hard to find the right numbers, scale the process, or keep a single source of truth.
- Slow, error-prone reconciliation: Teams spent hours every week copying, pasting and fixing data by hand, which produced frequent mistakes, version conflicts and flawed planning inputs.
- Poor visibility and stalled decisions: With no consolidated view or audit trail, leaders couldn’t run quick “what-if” scenarios, respond fast to supply/demand shifts, or trust the numbers—slowing decision cycles and risking stockouts or excess inventory.
- No single source of truth for profitability
The Solution
Centralized, web-based S&OP platform that automatically gathers and aligns weekly actuals, forecasts, stock and retailer data, lets users update projections week-by-week, records an audit trail of every change, and presents clear single-source dashboards for all teams. By replacing manual reconciliation with automated consolidation and a shared interface, the business now makes faster, more confident decisions with far fewer mistakes, reduces stockouts and excess inventory, and has clean, auditable weekly data that provides a solid foundation for future AI-driven planning.
- Automated Data Consolidation: Weekly actuals, forecasts, and stock inputs aligned in one system.
- Single Source of Truth: Clear dashboards and audit trails accessible across all teams.
- Modular Projection Management: Week-by-week updates with full traceability.
- AI-Ready Data Foundation: Structured, reliable data prepared for advanced analytics and automation.
- Scalable deployment across global operations.
- End-to-end automation framework.
Implementation Approach
System Design & Workflow Mapping
- Defined core S&OP requirements and designed a scalable, cloud-ready architecture
Platform Development & Integration
- Built centralized modules for actuals, forecasts, and stock with automated data flows
Testing & Deployment
- Ensured system reliability and performance before rolling out to business teams
The Impact
Operational Excellence
- Eliminated manual reconciliation and cut weekly admin work for S&OP teams.
- Fewer data errors and one trusted dataset for actuals, forecasts and stock.
- Improved inventory outcomes — fewer stockouts and less excess inventory.
- Faster, dependable weekly reporting that teams can act on.
Business Transformation
- Cross-functional alignment: sales, supply and finance now work from the same numbers.
- Quicker, more confident decisions due to clear dashboards and an audit trail.
- Standardized S&OP workflows and repeatable projection processes.
- Better ability to run scenario analysis and respond to market changes.
Strategic Advantages
- Scalable platform that supports growth and future integrations.
- Reduced working capital and improved operational resilience.
- A clean data foundation ready for AI-driven forecasting and automation.
Technologies Used
- React.js
- Python
- MongoDB