ZILLOUT
AI NativePowering How The World Goes Out
Est 2023|Raised $27.5M
Published Jul 14, 2026
Some public profiles and platform listings reference future concepts such as cross-venue redemption mechanics. These should be treated as proposed or speculative until functionality is released and documented, and regulatory compliance is demonstrated.
Common reasons that operators switch vendors in this category include:
No publicly verifiable quotes were found stating why customers left the vendor.
Based on vendor positioning and press-style summaries, reasons venues may evaluate the product include consolidating multiple tools, addressing cover-charge reconciliation, and accessing guest database and distribution capabilities claimed by the vendor.
No accessible product listing or review page on major B2B review platforms (Gartner Peer Insights, G2, TrustRadius) was located during the research effort. This lack of presence is common for early-stage or region-specific B2B products and limits independent validation.
The vendor website includes a client imagery banner with a claim that venues use the product. The accessible pages did not include detailed, attributable written testimonials with names, roles, or measurable outcomes.
The vendor advertises a rapid deployment timeline for some use cases. Without implementation documentation, rapid deployment may be plausible for a limited module rollout but less likely for full-stack deployments involving POS, inventory, payments, and marketing automation. Buyers should validate deployment scope and acceptance criteria during procurement.
Likely best fit based on vendor positioning and product scope:
Decision-makers:
Daily users:
Get a comprehensive analysis of ZILLOUT including market position, competitive landscape, adoption trends, and peer benchmarks.
Download full report →ZillOut previously operated a consumer Android app (ZillOut: Pubs & Parties). A third-party app index reports the consumer app was removed from the Google Play Store in late 2024. A small set of user review snippets is available in third-party indices but does not provide a robust sample.
Representative historical excerpts from consumer app indices (not independently verified and referring to the former consumer app):
Interpretation: These consumer app reviews relate to an earlier consumer-facing product and should not be treated as direct feedback on the current B2B venue product. They indicate prior product-market experimentation and potential issues with content freshness.
Press summaries and vendor communications include claims such as:
Critical evaluation: No public methodology, time window, or audit documentation is provided for these figures. They should be treated as vendor-provided signals rather than validated ROI evidence.
ZILLOUT (brand appears as ZillOut / ZILLOUT) is presented by the vendor as a platform that uses machine learning components for operational workflows in venues and experiences focused on going-out activities. The product combines discovery and demand generation, reservation and entry workflows, guest intelligence, and venue operations into a single platform that the vendor states can be operated from a mobile device. The vendor describes modules for demand creation and distribution, guest/entry management, table management, digital cover charges, menus/ordering/POS, and re-engagement through WhatsApp-based campaigns.
ZillOut’s "Black" page (targeting nightlife venues) lists offerings such as: a branded reservation portal, entry and table management tools, a mobile-based digital cover feature, digital menus, ordering/inventory/POS functionality, WhatsApp-based marketing and retargeting, feedback and loyalty tools, and AI-based demand prediction and revenue insights.
Primary target (based on product pages and company descriptions):
Positioning: The vendor presents the product as more than a reservations tool—an integrated stack combining venue operations, guest data, and distribution. The vendor emphasizes consolidation of fragmented tools (POS + spreadsheets + promoters + booking tools), reduction of reported revenue leakage on cover charges, and targeted marketing based on guest data.