AI-Powered Demand Forecasting and Order Optimization for Wholesalers

Our customized, enterprise-grade AI-Powered Demand Forecasting solution helps wholesalers and distributors manage complex product portfolios efficiently. Designed for businesses handling thousands of SKUs with varying delivery times and fluctuating demand, this cloud-native solution minimizes manual procurement effort while maximizing cost efficiency.

How It Works The solution leverages a modern, highly secure AWS architecture to transform raw data into actionable procurement decisions:

• Data Ingestion & Storage: Historical sales, inventory, and order data from your ERP system are securely ingested and stored in Amazon S3, with AWS Redshift serving as the high-performance data warehouse for large-scale analytical queries.

• Advanced AI Forecasting: Future sales are predicted using a hybrid approach. We combine the managed capabilities of Amazon Forecast with custom, high-performance machine learning models built on AutoGluon.

• Generative AI Insights: Through AWS Bedrock, the system can incorporate generative AI to explain demand anomalies or summarize forecasting insights in plain language.

• Cost Optimization: Building on these forecasts, a custom optimization algorithm calculates cost-optimal order quantities. This algorithm considers multiple factors (order costs, minimum order quantities, volume discounts, supplier delivery times, and warehousing costs) and runs as scalable containerized workloads via AWS Batch and Amazon EC2, backed by Amazon RDS for operational data storage.

Key Capabilities

• AI-Driven Sales Forecasting: Individual product predictions across large catalogs using Amazon Forecast and AutoGLUON.

• Cost-Optimized Recommendations: Automated calculations of optimal order quantities incorporating multiple business constraints.

• Seamless ERP Integration: Secure and automated transfer of order suggestions directly back into your ERP system via Amazon API Gateway.

• Interactive Monitoring Dashboard: A unified frontend secured by AWS Cognito for user authentication, giving you full transparency into AI predictions and decisions.

• Automated Model Monitoring: A built-in traffic-light system powered by Amazon CloudWatch to continuously monitor the accuracy of the AI models and trigger alerts if drift occurs.

• Self-Learning & Scalability: Fully automated, self-learning pipelines that detect changed market conditions and adapt.

Robust & Secure Enterprise Deployment To ensure maximum reliability, security, and scalability, the entire solution is built on modern DevOps principles:

• Containerization: Microservices are containerized using Amazon ECR (Elastic Container Registry) and orchestrated via Amazon EKS (Elastic Kubernetes Service) for high availability.

• Enterprise Security: Strict access control, data encryption, and resource isolation are enforced throughout the entire pipeline using AWS IAM (Identity and Access Management).

The implementation follows our proven methodology: starting with a Proof of Concept (PoC) to verify prediction accuracy, followed by prototype development in close collaboration with you, and concluding with full operationalization and ERP integration. This approach ensures the solution delivers measurable results before full deployment.

Developed by Ehrenmüller: A team of highly qualified AI experts specializing in custom AI development for mid-market companies. The solution has been proven in production environments, successfully managing procurement optimization for wholesalers with over 12,000 articles.