Media and entertainment · Content and media

Booking concierge and promo content engine

A concierge for showtime, seat and food questions that sends booking links, plus a Gemini pipeline for posters, thumbnails and short promos per title and city.

  • ClaudeAnthropic
  • GeminiGoogle
  • Typical timeline: 4–10 weeks

The problem

Cinemas and venues field the same showtime, seat, food and offer questions all day, while marketing needs posters, thumbnails and short promos for every title and city.

  • Showtime and offer questions swamp phones and social inboxes.
  • Every release needs fresh creative in several formats and languages.
  • Food and beverage upsells are missed online.

How we solve it

A concierge on web and WhatsApp that reads showtimes, sends booking links and suggests combos, alongside a content engine that turns approved trailers and stills into localised posters, thumbnails and short cut-downs.

It plugs into Ticketing / POS system, WhatsApp Business, Website (WordPress or Wix), Google Drive and Ad accounts, so nothing you rely on today is replaced. The architecture below shows each step and which model does the work.

Architecture

From your stack, through the AI layer, to numbers you can track

Each step names the model or system doing the work. Writes to your systems wait for a person to approve them.
Booking concierge and promo content engine. Your systems (Ticketing / POS system, WhatsApp Business, Website (WordPress or Wix), Google Drive and Ad accounts) connect to Softpiper's AI layer, which runs these steps: Guests ask (Claude Haiku / Sonnet); Book and upsell (Ticketing API · booking links); Creative inputs (Google Drive); Generate assets (Nano Banana · Veo · Lyria); Copy and brand QA (Claude Sonnet); Approve and publish (Approval queue). Outcomes are measured as booking conversion from chat, food and beverage attach rate, query deflection and asset turnaround time per title.

Your stack

  • Ticketing / POS system
  • WhatsApp Business
  • Website (WordPress or Wix)
  • Google Drive
  • Ad accounts

AI layer

Softpiper AI layer

  • Claude
  • Gemini
  1. Guests ask, using Claude Haiku / Sonnet

    Guests ask on web or WhatsApp; showtimes and availability come from your ticketing system.

  2. Book and upsell, using Ticketing API · booking links

    The concierge sends booking links and suggests food and beverage combos.

  3. Creative inputs, using Google Drive

    Approved trailers, stills and key art are pulled from Drive, with rights noted.

  4. Generate assets, using Nano Banana · Veo · Lyria

    Thumbnails, posters with localised text, short promos and music beds.

  5. Copy and brand QA, using Claude Sonnet

    Captions and descriptions are written per city and language, and every asset is checked against brand rules.

  6. Approve and publish, using Approval queue

    Your team approves assets before they reach the site and ad accounts.

Outcomes you measure

  • Booking conversion from chat
  • Food and beverage attach rate
  • Query deflection
  • Asset turnaround time per title

Why this model

Claude and Gemini, each where it leads

We choose per task on capability, cost and where your data must stay. Final versions are picked at kickoff.
ClaudeAnthropic

Claude runs the concierge with tools on your ticketing data, writes captions and localised descriptions, and checks every asset against your brand rules.

GeminiGoogle

Gemini handles the media: video-to-image generation for thumbnails and posters, Nano Banana image models for localised poster text, Veo and Gemini Omni Flash for short promo cut-downs, and Lyria for background music.

Delivery

What you get, how long it takes, and how we keep it safe

Guardrails

  • Only footage and stills you hold rights to are used as inputs.
  • Studio and brand approvals before anything is published.
  • AI-generated content is disclosed where required.
  • Showtimes and prices come from the ticketing system, never the model.

Plus the guardrails on every build: facts from your systems, approvals for writes and money, a human one step away, audit logs and evals. See all

Deliverables

  • Concierge on web and WhatsApp
  • Ticketing integration and booking links
  • Content pipeline for posters, thumbnails and promos
  • Brand QA rules
  • Asset approval queue

Typical timeline

  1. Concierge4–6 weeks
  2. Content pipeline2–4 weeks

A planning range for a first production release. We confirm scope, price and dates in a tailored proposal.

KPIs to track

  • Booking conversion from chat
  • Food and beverage attach rate
  • Query deflection
  • Asset turnaround time per title
  • Creative variants per campaign

Goals we agree with you and measure from a baseline. They are what we track, not results we promise.

Related services

Our work in this space

Related work

Products we've built that show the approach. They are our own products, not deployments of this playbook.
  • LuxeLens AI Studio home page: “The Virtual Studio for Digital Models” beside a studio window rendering images
    Live

    Our generative product-photo and video studio · Gemini on Google Cloud

    • Generative AI
    • Gemini
    • Google Cloud

Pip · Softpiper's AI

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Ask Pip how this would work for you

Pip is Softpiper's AI. Tell it what you run today and it will walk through how this playbook fits, what we would build first and a tailored price range. Or book a call with the team.

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