Demand Planning API ML -- 2

Scope of Work for Development of Cloud-Based Demand Planning Tool** --- **1. Introduction:** Development of a cloud-based demand planning tool targeting the B2B sector, retailers, manufacturers. Central to this tool are three integral modules: forecasting, inventory management, and dispatch planning. **2. Objectives:** - Deliver a cloud solution within a 6-months timeline. - Prioritize user-friendliness, cloud scalability, and integration capabilities. - Center on the development of the three aforementioned modules. **3. Cloud Development:** - Select a reliable cloud service provider emphasizing scalability, cost-effectiveness, and security. - Craft a resilient cloud architecture that guarantees high availability and disaster recovery. - Implement stringent cloud security measures. **4. Solution Design:** - Produce a solution design document capturing the proposed system, data flows, and integration needs. - Showcase system interactions and workflows through a process flow diagram. **5. Development and Configuration:** - Develop and tailor the cloud solution per the design. - Manage data migration, system integrations, and necessary customizations. **6. User Acceptance Testing (UAT):** - Execute extensive testing phases to validate the solution's effectiveness. - Rectify any issues discovered during the testing phase. **7. User Interface:** - Engineer an intuitive interface ensuring ease of use. - Include customization options for distinct organizational needs. **8. Deployment:** - Transition the solution to the cloud production environment. - Offer training and comprehensive user documentation. **9. Post-Implementation Support:** - Furnish consistent cloud support, including system updates and user assistance. **10. Project Management:** - Utilize a systematic project management method. - Regularly update stakeholders, addressing risks and resolving issues promptly. **11. Data Backup and Disaster Recovery:** - Establish a robust cloud backup strategy. - Design a cloud-based disaster recovery plan to safeguard against data loss and downtimes. **12. Modules to be Developed:** a. **Forecasting:** - Incorporate algorithms like Holt Winters Additive/Multiplicative, ARIMA, and more. - Predict future demand using historical data, seasonal trends, and market analytics. - Enhance accuracy through machine learning and AI techniques. b. **Inventory Management:** - Design an adaptive inventory system using real-time data. - Allow adjustments based on demand fluctuations and external factors. - Include features like reorder point calculations, safety stock determinations, and inventory turnover metrics. c. **Dispatch Planning:** - Facilitate the planning and scheduling of goods dispatch. - Integrate with the forecasting module to align dispatch schedules with predicted demand. - Include capabilities like route optimization, transportation cost analysis, and real-time dispatch tracking. **13. Bidding Qualifications:** Bidders should possess prior experience in developing cloud-based demand planning tools, particularly in the aforementioned modules. Relevant credentials are a MUST. Tech design document API and tech architecture Ui UX wireframes Customer journey AWS cloud --- The prospective developer or team should align with this scope, prioritizing the three main modules, and assure quality delivery within the given timeline and they have developed similar project before