Project Title: BatchBot
TechMix.ai
| Details | |
|---|---|
| Project Title | BatchBot |
| Project Topics | Data Management Operations Product Design & Development Research & Development Software Design & Development |
| Skills & Expertise | |
| Project Synopsis: Challenge/Opportunity | At TechMix.ai, we believe in empowering the Ready-Mix Concrete industry through transformative AI solutions. Harnessing the power of Generative AI and deep industry knowledge, we aim to centralize knowledge management, optimize operations, and catalyze innovation. Our commitment is to usher in an era where manual tasks are automated, decisions are data-backed, and every employee is equipped with AI-driven insights, ensuring the Ready-Mix industry is agile, efficient, and future-ready.
The pressing issues for the concrete producer involve enhancing customer interaction touchpoints, streamlining order processing, clarifying product information, and extending support beyond conventional hours. Addressing these challenges will likely involve the integration of automated systems and customer service platforms to provide a more responsive and user-friendly experience. We are partnering with ready mix producers to develop this technology and integrate it into their daily operation. Learn more about us at: TechMix.ai |
| Project Synopsis: Activities/Actions Required | The core objective of BatchBot is to address the common pain points in the ready-mix sector by offering a user-friendly platform that streamlines communications between the company and its clients. Through natural language processing and a comprehensive database of product knowledge, order histories, and delivery logistics, BatchBot's goal is to handle a wide range of queries with consistent accuracy. In order to achieve this, the following actions will need to be met: 1. Select technology platform
2. Define KPIs
3. Develop conversations flows
4. Integrate with Databases
5. Setup Language Processing models
6. Implement Transactional Functions
7. Secure the system
8. Train Chatbot
9. Initial Testing
10. Iterate based on feedback
|
| Project Synopsis: Expected Results | Validating the effectiveness of this product in a real-world setting is crucial. Success in this project could pave the way for further industry engagements and act as a case study for potential clients. The measurable results to look for would be indicators of both business impact and customer satisfaction. These would include:
Business Impact:
Customer Satisfaction:
|
Project Timeline
| Touchpoints & Assignments | Date | Type |
|---|---|---|
|
Initial Onboarding Information |
Jan 02 2024 EST (UTC-05:00) | Other |
|
First Day of Classes & Academic Calendar |
Jan 17 2024 EST (UTC-05:00) | Event |
|
Stevens Brand Guidelines |
Jan 17 2024 EST (UTC-05:00) | Other |
|
Industry Capstone Program Webpage & Resources |
Jan 17 2024 EST (UTC-05:00) | Other |
|
Student Pre-Kick-off Self-Assessment Form |
Feb 10 2024, 23:59 PM EST (UTC-05:00) | Evaluation |
|
Student Temperature Check |
Feb 23 2024, 23:59 PM EST (UTC-05:00) | Evaluation |
|
Midterm Presentation Information |
Mar 18 2024 EST (UTC-05:00) | Other |
|
Midterm Presentation Submission |
Apr 01 2024 EST (UTC-05:00) | Action Item |
|
Final Presentation Information |
Apr 01 2024 EST (UTC-05:00) | Other |
|
Student Temperature Check |
Apr 05 2024, 23:59 PM EST (UTC-05:00) | Evaluation |
|
Final Presentation Submission |
May 14 2024 EST (UTC-05:00) | Action Item |
|
Student Post-Engagement Self-Assessment Form |
May 14 2024, 23:59 PM EST (UTC-05:00) | Evaluation |
|
Industry Mentor Post-Engagement Team Assessment Form |
May 17 2024, 23:59 PM EST (UTC-05:00) | Evaluation |
Program Managers
| Name | Organization |
|---|---|
| Kate Marsden | Stevens Institute of Technology, School of Business Industry Capstone Program |
Teams
| Team Name | Project Name | Team Members |
|---|---|---|
| Tech Mix: Spring 2024 | BatchBot | |
| TechMix.ai | BatchBot |
