> For the complete documentation index, see [llms.txt](https://docs.net2grid.com/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.net2grid.com/net2grid-energy-ai-cloud/functionality/personalized-recommendations.md).
# Personalized Recommendations
Building on personalized disaggregation and benchmarking, NET2GRID EnergyAI® Cloud delivers household-level recommendations on a weekly and monthly basis. These insights go beyond simply showing consumers *how* they use energy: they empower them with actionable, data-driven steps to optimize their consumption.
These recommendations are dynamically tailored to each household's unique consumption patterns and appliance profile, ensuring high relevance and sustained customer engagement.
***
## Recommendation Categories
The intelligence engine groups insights into three primary action areas:
### 1. Behavioral Guidance
Practical, day-to-day advice designed to help users adjust their daily habits for immediate impact.
* **Examples:** *"It is a waste to heat rooms when you are not around. Leave the heating off in unused rooms,"* or *"Switch off your lights when you leave the room."*
### 2. Maintenance Insights
Guidance on appliance upkeep to improve efficiency, prevent operational drift, and extend equipment lifespan.
* **Examples:** *"Defrost your freezer regularly to reduce its baseline load,"* or *"Schedule maintenance for your heating system before winter for optimal performance."*
### 3. Investment Advice
Data-driven recommendations for capital improvements, ranging from small appliance replacements to major home energy upgrades (like solar panels, batteries, or heat pumps).
* **Examples:** *"Consider upgrading to a modern, energy-efficient fridge,"* or *"Based on your solar production and consumption patterns, investing in a 10 kWh battery storage system could increase your self-consumption from 37% to 74%."*
> **Key Feature: Estimated Energy Savings**
>
> To make these insights as actionable as possible, recommendations are accompanied by an **estimate of potential energy savings**. This transparent, quantifiable approach allows end-users to easily prioritize the behavioral changes or investments that will deliver the most significant financial and environmental impact.
Personalized Recommendations as shown in a utility app
***
## How we deliver this
These tailored recommendations are delivered as structured data payloads, mapped directly to the user's weekly or monthly consumption profile.
This format allows you to seamlessly integrate customized tip cards, maintenance alerts, and major upgrade prompts directly into your mobile app or web portal, creating a highly personalized digital energy experience.
Personalized Recommendations are available in the [Monthly - Home Energy Reports](/net2grid-energy-ai-cloud/delivery-configurations/monthly-home-energy-reports.md) and [Daily - Consumer Intelligence](/net2grid-energy-ai-cloud/delivery-configurations/daily-consumer-intelligence.md) delivery configurations, where you'll also find the link to the interface specifications.
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# Agent Instructions
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