Purpose
This workflow is used when a customer wants to reduce energy costs, lower utility bills, identify energy waste, or maximize savings using their existing home, equipment, and smart devices.
The goal is to identify the biggest opportunities for savings before recommending any new products or upgrades.
Customer Trigger Phrases
Examples:
- Lower my energy bill
- Reduce my electric bill
- Save money on utilities
- Why is my energy bill so high?
- Maximize my energy savings
- Help me save money
- Reduce my monthly utility costs
- My electric bill keeps increasing
- Help me lower my HVAC costs
Step 1 – Ticket Creation
Freshdesk creates a ticket.
Category:
Smart Energy
Request Type:
Energy Optimization
Status:
New
Step 2 – In Review
Determine the customer's current situation.
Collect:
Utility Information
- Utility provider
- Electric provider
- Gas provider (if applicable)
Billing Information
- Average monthly bill
- Highest recent bill
- Seasonal changes
Property Information
- Home size
- Property type
- Number of occupants
Existing Smart Devices
Examples:
- ecobee
- Alexa
- Ring
- Smart plugs
- Smart lighting
- Smart locks
Step 3 – Move to In Progress
Customer information is attached to the GHL contact.
Information is passed to:
- Customer profile
- Property information
- Utility information
- Existing devices
- SmartHomeConcierge.ai Bot
Step 4 – Concierge Analysis
The SmartHomeConcierge.ai Bot reviews:
Utility Usage
Review:
- Monthly bills
- Seasonal spikes
- Usage trends
Home Occupancy
Review:
- Work schedules
- Time away from home
- Sleep schedules
Existing Equipment
Review:
- HVAC system
- Thermostat
- Lighting
- Existing smart devices
Existing Automations
Review:
- Alexa routines
- Thermostat schedules
- Lighting schedules
- Smart plug schedules
Step 5 – Identify Savings Opportunities
Phase 1 – No Purchases Required
Review and recommend:
Utility Plan Review
Determine if the customer is on the most cost-effective energy plan.
Lifestyle Review
Identify unnecessary energy usage patterns.
Examples:
- Cooling empty home
- Heating empty home
- Lights left on unnecessarily
- Excessive fan operation
Home Efficiency Recommendations
Examples:
- Change HVAC filter
- Close blinds during peak sunlight
- Adjust water heater settings
- Reduce unnecessary appliance runtime
Existing Device Optimization
Examples:
- Thermostat schedule optimization
- Comfort Setting optimization
- Vacation schedule setup
- Fan runtime adjustments
- Alexa routine optimization
- Smart plug scheduling
- Lighting schedule optimization
Phase 2 – Existing Features Not Being Used
Identify devices already owned but not fully utilized.
Examples:
ecobee
- Comfort Settings
- Home Energy Reports
- Vacation Scheduling
- Auto Heat/Cool
Alexa
- Away routines
- Bedtime routines
- Vacation routines
Smart Plugs
- Lamp schedules
- Fan schedules
- Device shutdown schedules
Lighting
- Motion schedules
- Occupancy schedules
- Automatic shutoff schedules
Phase 3 – Additional Recommendations
Only if additional savings opportunities exist.
Examples:
Smart Devices
- Smart thermostat
- Smart plugs
- Smart power strips
- Smart blinds
- Smart curtains
- Energy monitoring devices
Larger Projects
- Whole-home energy monitoring
- Solar evaluation
- Advanced automation projects
If multiple recommendations exist, create a Project/SOW.
Step 6 – Generate Recommendations
Recommendations should be prioritized as follows:
Priority 1
No-cost savings opportunities
Priority 2
Optimization of existing devices
Priority 3
Low-cost improvements
Priority 4
New smart device recommendations
Step 7 – Customer Response
Example:
"We reviewed your energy usage, utility information, home occupancy patterns, and existing smart devices. We identified several opportunities to reduce energy consumption using your current equipment before recommending additional purchases."
Step 8 – Resolved
Work Completed:
- Utility review completed
- Home usage reviewed
- Existing smart devices reviewed
- Energy-saving recommendations delivered
Status:
Resolved
SMS Sent:
"Your SmartHomeConcierge.ai energy optimization recommendations are ready. Please review the recommendations and let us know if you would like assistance implementing them."
Step 9 – Closed
Customer confirms recommendations received.
Status:
Closed
Knowledge Capture
Document:
- Utility provider
- Average monthly bill
- Home size
- Existing devices
- Recommendations provided
- Savings opportunities identified
- Customer outcome
Freshdesk Bot Learning
Capture:
- Successful energy-saving recommendations
- Common utility concerns
- Effective optimization strategies
SmartHomeConcierge.ai Bot Learning
Learn:
- Which recommendations consistently reduce energy costs
- Which devices provide the greatest savings
- Common causes of high utility bills
- Future energy optimization opportunities
Goal
The goal of this workflow is to help customers save money by understanding their utility usage, home occupancy patterns, lifestyle habits, and existing smart home ecosystem before recommending additional devices or larger energy projects.
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