AI in Manufacturing Industry: Enhancing Sales Operations
Establishing a fully integrated AI system capable of making informed predictions to optimize inventory and sales strategies by integrating existing data sources (SAP, Microsoft 365) and external data sources such as market trends, economic indicators, and web data.
THE CUSTOMER
BUSINESS GOALS
Despite having an impressive operational framework, several challenges hamper optimal business performance and restricting the customer on reaching desired KPIs. Here are some of their key issues:
- The absence of a Customer Relationship Management (CRM) system hinders effective data capture and utilization in sales activities.
- Current reliance on manual telephonic sales processes fails to leverage technological advancements for enhancing sales and operational efficiency.
- Existing tech stack, such as SAP S4 HANA and Microsoft 365, are underutilized for predictive analytics and advanced data integration.
The customer desires ThirdEye to develop an AI-powered integrated system capable of deriving actionable insights from their unstructured data, forecasting market demands, and recommending effective sales strategies.
THE SOLUTION
To address these challenges and meet the business requirements, ThirdEye proposed a phased AI implementation strategy, starting with a comprehensive due diligence phase. This initial stage involved the ThirdEye team collaborating closely with the customer to meticulously plan the scope and architecture of the solution. Additionally, prototype solutions were developed to instill confidence among stakeholders.
Post due diligence, ThirdEye implemented rule-based suggestions and insights within the selected AI application, reflecting the scope determined during the due-diligence phase. In the next phase, the team enhanced the AI capabilities by incorporating external data sources such as market trends, economic indicators, and web data to refine predictions and recommendations for demand and sales.
After constructing a robust AI algorithm and conducting multiple model training sessions, a fully integrated AI system capable of making informed predictions to optimize inventory and sales strategies was delivered to the customers and their stakeholders. ThirdEye is now providing post-deployment support to the customer, including system training.
ThirdEye understood that the customer was seeking a long-term partnership wherein the partners would complement each other, share risks and rewards, and jointly ensure the success of the customer’s business goals.
ThirdEye committed itself to this partnership relationship in various ways, including laying the groundwork for a tailored AI strategy, performing data integration, delivering actionable insights from the data, and developing advanced demand forecasting system. ThirdEye’s proven expertise in AI and commitment to collaboration empowered the customer to gain a competitive edge through smarter sales and operations.
The phased development approach includes:
- Due Diligence: The due diligence phase aimed to map out the entire scope of the AI implementation project, including detailed planning of the solution architecture, determining phases, timelines, cost estimates, and priorities. It also involved the potential development of prototype solutions to validate concepts and approaches.
- AI Infrastructure Building: After completing the due diligence, ThirdEye established a clear plan and scope for implementation. We laid the foundation for an AI infrastructure by integrating existing data sources (such as SAP and Microsoft 365) with the new AI services to ensure their functionality and readiness for further development.
- Initial AI Integration: In this phase, we implemented rule-based suggestions and insights within the selected AI application, aligning with the scope determined during the due diligence phase.
- Implementing Advanced AI Capabilities: ThirdEye enhanced the AI capabilities of the system by incorporating external data sources, such as market trends, economic indicators, and web data, to refine predictions and recommendations for demand and sales.
Technologies Incorporated:
- Programming Language: Python
- ML/DL Frameworks & Libraries: TensorFlow, PyTorch, Scikit-Learn
- Web Framework: Django
- Use Interface: ReactJS, Django + JavaScript
- Database: SQL Database (e.g., PostgreSQL)
- Cloud Services: Azure
- API Management: Django REST Framework
- Security Authentication: OAuth 2.0, SSL/TLS Encryption
VALUE CREATED
As part of our strategic and collaborative approach, ThirdEye applied minimal charges for all development and support services. We deployed pods of consultants who functioned as one team to fulfill all project requirements. Successfully, we delivered a fully integrated AI system capable of making informed predictions to optimize inventory and sales strategies within the stipulated timeframe and budget.
Since this project was recently completed, we are still awaiting statistics to share the impact of the AI system on overall sales and operations.
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