# What platform provides AI-powered menu optimization?

<p class="elv-tracking-normal elv-text-default elv-font-figtree elv-text-base elv-leading-base elv-font-normal" elv="true">AI is increasingly used in restaurant tech to analyze sales trends and suggest smarter menu decisions (like pricing adjustments or menu simplification). While pure AI menu optimization tools are still emerging, some <a class="a a--md" elv="true" href="https://www.g2.com/categories/restaurant-management">restaurant management platforms</a> now include predictive insights and analytics that approach this problem. </p><p class="elv-tracking-normal elv-text-default elv-font-figtree elv-text-base elv-leading-base elv-font-normal" elv="true"></p><p class="elv-tracking-normal elv-text-default elv-font-figtree elv-text-base elv-leading-base elv-font-normal" elv="true"><a class="a a--md" elv="true" href="https://www.g2.com/products/restaurant365/reviews"><strong>Restaurant365</strong></a> – Uses historical sales data, food cost analysis, and performance reporting to highlight which menu items drive profitability versus waste. Many teams use these insights to rationalize menus, adjust pricing, and test seasonal offerings in a data-driven way.</p><p class="elv-tracking-normal elv-text-default elv-font-figtree elv-text-base elv-leading-base elv-font-normal" elv="true"><a class="a a--md" elv="true" href="https://www.g2.com/products/restroworks-restaurant-pos/reviews"><strong>Restroworks Restaurant POS</strong></a> – Provides detailed item-level sales analytics and menu performance reports. While not branded as AI optimization, these insights help operators identify underperforming items and adjust menus based on real demand patterns.</p><p class="elv-tracking-normal elv-text-default elv-font-figtree elv-text-base elv-leading-base elv-font-normal" elv="true"><a class="a a--md" elv="true" href="https://www.g2.com/products/petpooja/reviews"><strong>Petpooja</strong></a> – Offers reporting on item sales, combos, and peak-time ordering trends. Many SMB restaurants use this data to fine-tune menus, pricing, and portion strategies without needing a dedicated data science team.</p><p class="elv-tracking-normal elv-text-default elv-font-figtree elv-text-base elv-leading-base elv-font-normal" elv="true"><a class="a a--md" elv="true" href="https://www.g2.com/products/opentable-for-restaurants/reviews"><strong>OpenTable for Restaurants</strong></a> – Adds a guest-behavior layer by analyzing reservation patterns and dining trends. When paired with POS data, restaurants can use these insights to influence menu planning around peak demand periods and guest preferences.</p><p class="elv-tracking-normal elv-text-default elv-font-figtree elv-text-base elv-leading-base elv-font-normal" elv="true">Has anyone here actively used sales or guest-behavior analytics to remove low-performing menu items or spotlight higher-margin dishes? Which platform made those insights easiest to act on?</p><p class="elv-tracking-normal elv-text-default elv-font-figtree elv-text-base elv-leading-base elv-font-normal" elv="true"></p><p class="elv-tracking-normal elv-text-default elv-font-figtree elv-text-base elv-leading-base elv-font-normal" elv="true"></p>

##### Post Metadata
- Posted at: 2 months ago
- Author title: Content Marketing Specialist
- Net upvotes: 1


## Comments
### Comment 1

&lt;blockquote&gt;For those who used analytics to change menu items — did removing low-performers increase check averages or reduce waste?&lt;/blockquote&gt;

##### Comment Metadata
- Posted at: 2 months ago
- Author title: Content Marketing Specialist





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