**Voice Call Handling:**
1. **AI to Answer Calls:**
– Set up an AI system that answers incoming calls using Twilio.
2. **Greeting & Consent:**
– Implement a greeting that includes a recording notice and requests consent to record the call.
– **Press 1 for Yes:** After hearing the recording message, if they press 1, proceed to step 3 (Natural Language).
– **Press 2 for No:** If they press 2, play another recording message saying, "Please email us at
3. **Natural Language Understanding:**
– Use TensorFlow (or alternatives like PyTorch) for natural conversation handling to understand the caller’s needs and direct the conversation accordingly.
4. **Gather Details:**
– The AI should gather relevant details from callers based on their service choice and log this information for follow-up.
5. **Record & Transcribe Calls:**
– Automatically save phone call recordings and transcripts to the job card and client profile.
6. **Follow-Up Messages:**
– Send follow-up messages to confirm details or provide additional information if needed.
7. **Fallback Handling:**
– If the AI cannot understand the caller after three attempts, it should escalate the call to a human representative. Provide a phone number (which can be set in a box on the website) during this escalation.
**Email Response Management:**
1. **Email Handling:**
– Use TensorFlow (or alternatives like PyTorch) to set up an AI system that responds to customer inquiries via email.
2. **Dynamic Responses:**
– The AI should be able to ask for more information if the client hasn’t provided enough.
3. **Integration with CRM:**
– Integrate with our CRM system, Piper, to log email interactions and manage customer details.
**AI Training and Learning:**
1. **Interactive Training:**
– Allow training through "pretend" conversations where guidance is provided on appropriate responses (that I will oversee).
2. **Australian English:**
– Ensure all interactions use Australian English.
3. **Adaptive Learning:**
– The AI should relearn from old data sets (emails) and update itself, seeking approval for new response methods.
4. **Error Handling:**
– If the AI is unsure, it should email potential responses for approval.
—
### Frontend Requirements:
1. **User Interface:**
– Develop a user-friendly interface for the AI system that allows customers to interact easily through calls and emails.
– Ensure the interface is accessible via multiple devices (desktop, mobile, tablet).
2. **Notifications:**
– Implement notification systems for customers, including email and SMS alerts for booking confirmations, follow-ups, and reminders.
—
### Backend Requirements:
1. **TensorFlow (or PyTorch) Integration:**
– Set up and configure TensorFlow (or PyTorch) for natural language understanding and conversation management for both voice and email interactions.
– Create models relevant to plumbing services and manage conversation flows.
2. **Twilio Integration:**
– Integrate Twilio for voice call handling, including call routing, recording, and fallback mechanisms.
– Implement features to gather caller details and log this information for follow-up.
3. **Email Automation:**
– Set up automated email responses that can dynamically ask for more information if needed.
– Ensure integration with Piper to log and manage email interactions.
4. **CRM Integration:**
– Integrate the AI system with Piper to manage customer details, job history, communication logs, and call transcripts.
– Ensure seamless data synchronization between the AI system and the CRM.
5. **Security & Privacy:**
– Implement data security measures to protect customer information and comply with Australian regulations.
– Ensure secure handling of call recordings, emails, and other sensitive data.
—
### Piper CRM Overview
**Overview:**
Piper is a CRM system designed for our plumbing business. It combines job management with scheduling, automation, and integration capabilities to streamline operations and enhance customer satisfaction.
**Job Management:**
1. **Client & Job Details:**
– Access all client and job details from the field, anywhere, anytime.
– Field staff have all the information they need to get the job done efficiently.
2. **Job History & Search:**
– Access a complete history of work done for every client, including notes, photos, emails, messages, and call transcripts.
– Instantly bring up past jobs by searching client names, job numbers, or materials used.
3. **Checklists & Tasks:**
– Use checklists and task lists to ensure jobs are done right the first time, every time.
4. **Photos & Videos:**
– Allow the ability to upload photos and record videos, saved instantly to the job.
5. **Signature Capture:**
– Record proof that your customer is happy to proceed with a job or pay for completed work.
6. **Google Contacts Sync:**
– Sync all client contact details into Google Contacts to enable personalized greetings when clients call.
**Customer Communication:**
1. **Booking Confirmations:**
– Send clients an email or text confirmation of their booking with a single tap.
– Text should include the client’s name, address, problem, a link to the terms and conditions on the website, and a scheduled time. Clients can reply with Y or N.
2. **Customer Replies:**
– See all client communication on jobs, with customer reply emails automatically synced to the CRM.
3. **Email & Text Templates:**
– Save time and provide a consistent, professional message to clients with templates.
**Job Costing & Payroll:**
1. **Job Costing:**
– Quickly gauge how profitable after the job is complete.
– How far the job is away from the "home base of the technician" in kms/hours travel.
– How long they were on site for.
– Materials used.
2. **Weekly Timesheets:**
– Track total hours and review start & finish times. Make workers log their job locations, durations, and activities.
3. **Auto Payroll Timesheets:**
– Export staff timesheets to Xero to streamline payroll processing.
**Integrations:**
1. **Xero**
2. **Zapier – App Integrator**
3. **Mailchimp Email Marketing:**
– Sync client emails daily with Mailchimp, ensuring your mailing list is always up-to-date.
### Skills Required:
– Expertise in TensorFlow (or PyTorch) for natural language understanding and conversation management.
– Proficiency in Twilio for call handling and integration.
– Experience with frontend and backend development, including CRM systems.
– Strong problem-solving skills and attention to detail.
– Ability to create a modern, clean, and user-friendly interface.
—
### Deliverables:
– Fully functional AI system for handling phone calls and responding to emails.
– User-friendly interface for customer interactions and management.
– Comprehensive backend integration with TensorFlow (or PyTorch), Twilio, and Piper CRM.
– Fully developed Piper CRM with all outlined features.
– Source code and IP rights to the entire system.
– Documentation and training materials for ongoing management.
– Testing and quality assurance to ensure the system meets all requirements.
### Recommended APIs:
1. **Twilio:**
– **Voice API:** For handling incoming and outgoing calls.
– **Messaging API:** For sending SMS notifications and confirmations.
2. **TensorFlow or PyTorch:**
– **TensorFlow API:** For natural language processing and managing conversational AI.
– **PyTorch API:** As an alternative for natural language processing and managing conversational AI.
3. **Google Cloud Platform:**
– **Cloud Storage:** For storing call recordings, images, and other data.
– **Cloud Functions:** For serverless backend processing.
4. **Xero API:**
– For payroll integration.
5. **Zapier:**
– For integrating with various third-party applications and automating workflows.
6. **Mailchimp API:**
– For email marketing and communication with clients.
7. **Google Maps API:**
– For real-time dispatch maps and location services.
8. **Firebase:**
– For real-time database management and authentication.
9. **AWS (Amazon Web Services):**
– **S3:** For secure data storage.
—
### Installments Breakdown:
1. **Installment 1: Initial Development**
– Development of the AI system using TensorFlow (or PyTorch).
– Integration with Twilio for call handling.
– Basic CRM setup with essential features.
2. **Installment 2: Integration and Testing**
– Full integration with Piper for email management.
– Comprehensive testing of the AI and CRM systems.
– Quality assurance and bug fixing.
3. **Installment 3: CRM Features and AI Training**
– Development of additional CRM features.
– Implementation of training and learning mechanisms for the AI.
– Ensure seamless data synchronization between the AI system and the CRM.
4. **Installment 4: Deployment and Training**
– Deployment of the system on the website.
– Training materials and documentation.
5. **Installment 5: Finalization and Support**
– Final touches and adjustments based on initial feedback.
– Ongoing support and maintenance.
### Notes:
– Developers are encouraged to use pre-built code to save on time and cost.
Budget: $8,000
Posted On: August 04, 2024 02:17 UTC
Category: Full Stack Development
Skills:PyTorch, TensorFlow, Python, Customer Relationship Management, Artificial Intelligence, API Integration
Country: Australia
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