Executive Summary

Restaurants and local managers routinely fail to convert post-order satisfaction into reviews and repeat visits because follow-up is manual, time-consuming, and has low response rates—this pain is most acute for the 11 million SMB restaurants globally that lack marketing talent or budgets. The result is lost visibility on platforms and forgone revenue from repeat customers and reputation-driven sales. Build a lightweight SaaS that hooks into POS and delivery APIs to trigger real-time, post-order outreach via SMS/WhatsApp/email, using LLMs to generate conversational, personalized messages and streamlined one-tap review or feedback flows, plus analytics and simple integrations with Google/Yelp. Include templates, A/B testing, and a dashboard that shows incremental reviews and repeat-order lift to demonstrate ROI. The market is attractive now: a $6.6B TAM (11M restaurants × $600 ACV) with a Market Score of 85/100 and strong tailwinds from conversational AI, expanding POS/delivery webhooks, and customer preference for messaging channels. Revenue potential scores (82/100) and medium competition mean there’s room for a focused solution that proves measurable lift. You can differentiate on deep POS/delivery integrations, LLM-driven personalization tuned for restaurant tone, and prioritized SMS/WhatsApp delivery to maximize conversion—capture 1% of the market and you’re at roughly $66M ARR. Challenges are real: integration complexity, SMS costs and deliverability, opt-in/compliance and review-platform rules, so early focus should be on reliable data hooks, transparent economics, and case studies that prove uplift.

Market Opportunity

Automated post-order follow-up & review generation for restaurants targets a $6.6B = 11M restaurants worldwide × $600 ACV (reputation & follow-up automation for SMB restaurants) total addressable market with medium saturation and a year-over-year growth rate of 12% YoY (market for CX and reputation management software growth; sources include industry estimates from Statista and Gartner on CX software adoption).

Key trends driving demand: Conversational AI — LLMs now create human-like, personalized post-order messages that substantially increase reply and review rates.; POS and delivery APIs — broader availability of event hooks from POS and delivery platforms makes automated triggers reliable and real-time.; SMS/WhatsApp preference — Customers increasingly prefer quick conversational channels for feedback, creating higher conversion for review requests sent via messaging.; Performance-driven buying — SMBs are prioritizing tools that show clear ROI (reviews, refunds avoided, repeat orders) which shortens sales cycles for measurable automation..

Key competitors include Podium, Toast (marketing & guest engagement), Birdeye.

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Automated post-order follow-up & review generation for restaurants

Executive Summary

Market Validation

Market Opportunity

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