4 Steps to Implement GPT for Manufacturing Contracts
The manufacturing industry has always been in a constant state of evolution. From the early days of manually assembling products to today’s world of automation and data-driven decision-making, there’s a relentless pursuit of efficiency and accuracy. Among many digital advancements, one of the most exciting innovations is using GPT for manufacturing contracts. This powerful tool, backed by AI, offers vast benefits that can redefine how manufacturers approach their contracts and agreements. Before, we dig into the solution, let’s define the challenges faced by manufacturers.
The Manual Cycle
Manufacturing businesses grapple with challenges stemming from intricate sales agreements that involve nuanced pricing at the SKU level. The use of PDFs and paper for storing contracts and sales agreements creates visibility issues for the sales team, hindering their access to crucial information. This reliance on manual documentation also results in delays in the sales process, as the sales team must frequently reach out to the operations team for contract and pricing details.
These businesses aim to enhance user experience and streamline communication by allowing direct inquiries about pricing and contracts within the system. This involves facilitating user queries through a question-based format rather than relying solely on traditional reporting methods. The overarching goal is to expedite the sales process by freeing up the operations team from repetitive tasks related to providing contract and pricing details. Hello GPT!
4 Steps to Implement GPT for Manufacturing Contracts
Let’s explore the four main steps to integrating GPT for manufacturing contracts and understand why this game-changing technology is well worth considering.
1. Data Cloud for Unstructured Data
Create a Unified Repository for Easy Access
As contracts grow in number and complexity, managing and retrieving them becomes a challenge. This is where the Data Cloud integration comes into play. By ingesting all contracts and pricing agreements into an unstructured contracts data set in Data Cloud, manufacturers are building a unified, accessible repository: no more frantic searches or lost contracts. Everything is stored securely, and with the power of GPT, any piece of information within these contracts is just a query away. It not only ensures easy access but also significantly reduces the risks of oversight or misinterpretation.
2. Track Sales Agreements in Manufacturing Cloud
An All-Seeing Eye for Agreements and Commitments
Manufacturing Cloud is another feather in the cap of the modern manufacturer. This specialized cloud service is designed to address the unique needs of the manufacturing sector. With GPT integration, the system can monitor sales agreements and volume-based pricing commitments. Instead of manually checking or relying on separate tracking systems, everything becomes centralized. Sales teams, management, and stakeholders can query sales agreements or pricing commitments through GPT, making Manufacturing Cloud an even more potent tool.
3. Salesforce & Einstein Studio Integration
Enable a Self-Service Model with Seamless Integrations
With the integration of GPT and prominent platforms like Salesforce and Einstein Studio, the power of self-service gets unlocked. Salesforce, known for its customer relationship management capabilities, combined with Einstein Studio’s analytics power, can transform how sales teams operate. By integrating GPT with Salesforce and Einstein Studio, manufacturers enable the sales team to self-service. This unique combination ensures that questions are answered by SKU rather than tedious reporting. So, instead of getting lost in heaps of reports, sales teams can directly query specific details, saving time and increasing efficiency.
4. Direct Questions within the System
Harness the Power of Instantaneous Query Handling
One of the standout features of GPT is its ability to comprehend and respond to queries in real time. Utilizing the power of GPT, manufacturers can allow sales teams to ask direct questions about product pricing and contracts within the system. Gone are the days of sifting through heaps of documents or waiting for someone to provide a crucial piece of information. With GPT, sales teams can get instantaneous and sophisticated answers in English, streamlining the process and ensuring that negotiations and sales discussions remain productive and on track. A GPT inquiry can even provide tiered and volume-based pricing, potentially letting a salesperson know how close the customer is to their next pricing tier.
With these steps implemented, Data Cloud now houses the unstructured data repository of all contracts, with GPT serving as the intelligent layer on top. GPT is designed to query and derive insights from this unstructured data, establishing a model based on its analysis. Furthermore, GPT has the capability to leverage sales agreements stored in the Manufacturing Cloud as additional input for its model. Once the GPT model is constructed, incorporating insights from both contracts and sales agreements, it can be made available for self-service use by Sales and Service teams directly within the Salesforce platform.
A Transformative Approach
The integration of GPT for manufacturing contracts is not just a technological upgrade; it’s a transformative approach to how manufacturing contracts are handled. By empowering sales teams to ask direct questions, integrating with powerful platforms like Salesforce and Einstein Studio, creating a unified data repository in Data Cloud, and enabling real-time tracking in Manufacturing Cloud, GPT sets a new industry standard. RafterOne recognizes this shift and champions the integration of GPT to ensure that manufacturing processes, including those related to contracts, are seamless, efficient, and innovative. As the manufacturing industry continues to evolve, tools like GPT will be at the forefront, guiding the industry into a future of unparalleled precision and productivity.