Benefits

Improved demand forecasting.

Optimized order processes.

Enhanced supply chain efficiency.

Reduced stockouts and overstock situations

Phases

Assessment: Evaluate current order management processes and data needs.

Planning: Develop a tailored predictive order management strategy.

Implementation: Integrate and configure order management tools.

Optimization: Continuously refine demand forecasting and order processes.

Maintenance: Provide ongoing monitoring and updates

Deliverables:

Customized predictive order management strategy.

Integrated order management systems.

Detailed performance reports.

Comprehensive training and documentation

Client responsibilities:

Provide necessary access and information.

Maintain open communication channels.

Share relevant documentation and processes.

Location

On site and remotely.

SLA

Included with defined performance and service levels.

Includes project management

Comprehensive planning and coordination throughout the project.

Payment frequency

Project-based, monthly, or time and material.

Contract duration

1 year, 3 years, 5 years (against minimum commitment)

Case Study

Predictive Order Management Solutions

Brief Overview: Our Predictive Order Management solutions leverage advanced analytics to forecast demand, optimize order processes, and improve supply chain efficiency. This ensures the right products are available at the right time, helping businesses avoid stockouts and overstocking, ultimately enhancing profitability and customer satisfaction

Sector:

Food and Beverage

Technologies Used:

HPE Ezmeral

Apache NiFi

Apache Airflow

Additional open-source technologies

Summary of Results:

We implemented predictive order management for a leading food and beverage company. The solution accurately forecasted demand for various product categories, reducing order processing time by 15% and minimizing stock imbalances by 9%. This contributed to a 15% increase in overall supply chain efficiency.

Team Expertise: (for a specific case study)

Our team comprises highly skilled data engineers and data scientists with significant experience in the food and beverage sector. The technical team for this project includes 3 specialists with expertise in predictive analytics, supply chain optimization, and data engineering. Their past projects involve large-scale implementations for both domestic and international food and beverage clients. CVs of our team members are available upon request.