Data Integration
Our first step ensures your historical and live data is seamlessly integrated into the Demand Planning App. Whether it’s from Odoo or external systems, we handle all complexities, making your data forecasting-ready.
What you see is what you get
Import data from various sources, including Odoo apps like Sales and Inventory or external tools like Excel. Automatically validate datasets to eliminate inconsistencies and errors. Clean and map sales, SKU, and inventory data for immediate use.
Automation tools for ongoing imports
Set up recurring data imports to keep your forecasts updated without manual intervention. Ensure compatibility with multiple formats and establish robust data pipelines.
Custom Configuration
In this phase, the app is fine-tuned to align with your company’s unique workflows, industry demands, and operational goals.
Industry-Specific Adjustments
Configure outlier detection thresholds to handle seasonal spikes or unusual patterns. Customize forecasting parameters for specific SKUs, product families, or timeframes. Adapt forecasting methods (e.g., Holt-Winters, Decision Tree Regression) to match your data and planning goals.
Workflow Optimization
Align app processes with your Odoo environment, including integration with MPS. Enable custom reports, dashboards, and visualizations for real-time monitoring. Set up batch and SKU-specific forecasting workflows to streamline operations.
Training and Deployment
Once the system is configured, we work closely with your team to ensure a smooth rollout and effective usage of the app.
Interactive Training
Hands-on sessions for all stakeholders, covering data management, forecasting, and reporting tools. Role-specific training to empower your team across departments like sales, inventory, and production.
Comprehensive Go-Live Support
Run pilot tests to identify and address potential bottlenecks. Create a step-by-step go-live checklist to minimize disruptions. Offer real-time assistance during the initial rollout phase.