cellbot is an AI front desk and CRM for tech repair and tech sales businesses. It is built around the problem of slow replies, missed calls, and customers not finding a price, and it says it helps businesses quote repairs, book jobs, take payments, and reply instantly across channels.
Its front-end workflow centers on chat and voice responses that run 24/7. The product also includes a built-in pricebook with more than 30,000 repair prices already loaded, covering more than 2,300 devices. Cellbot also says it sells devices and accessories, collects 5-star reviews, and includes a CRM plus an AI Copilot that reads business numbers, spots gaps, and helps growth.
The review features are more specific than the CRM label alone suggests. Cellbot says it can automatically request reviews by SMS or email after a collection, draft replies matched to the rating, run reactivation campaigns for past customers, send instant alerts when a negative review lands, and provide QR code and NFC review cards. It also mentions a technician leaderboard, Google review links, Trustpilot-ready request flows, and a reviews dashboard.
Delivery and integrations are also stated plainly. Cellbot says it works with Shopify, WordPress, WooCommerce, Stripe, Wix, Squarespace, QuickBooks, Xero, n8n, Zapier, Make, Google Calendar, and Slack. Pricing is described as month-to-month billing with no long-term contracts, and the product says users can cancel any time, export data anytime, and use it under GDPR-compliant terms. It also states that payments are built in through Stripe and are secure and PCI-compliant.
cellbot is an AI support agents project. It focuses on automating customer communication, quoting, booking, and CRM for tech repair and sales shops. It is built as a B2B product for tech repair shop owners and sales teams. A free plan is available. cellbot is available on the web and embeddable surfaces.
cellbot first shipped in 2026. Among its 6 catalogued features are AI chat support, repair quoting, and appointment booking. It exposes integrations via a Zapier integration.
Summary written by a language model from the project’s public pages.
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