Demand Planning API cloud based
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**Scope of Work for Development of Cloud-Based Demand Planning Tool**
Development of a cloud-based demand planning tool targeting the B2B sector, retailers, manufacturers, and the government sector. Central to this tool are three integral modules: forecasting, inventory management, and dispatch planning.
- 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.
- 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:**
- 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.
The prospective developer or team should align with this scope, prioritizing the three main modules, and assure quality delivery within the given timeline.
ID Proiect: #37240314
Detalii despre proiect
42 freelanceri plasează o ofertă medie de 1454$ pentru proiect
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