# Reduce searches with no bookable inventory > Refix reduces searches with no bookable inventory by continuously finding the highest-impact constraint across supply, availability windows, and ranking, while protecting cancellation and booking quality. ## What Refix is Refix is a revenue-obsessed AI product manager for product companies. A person delegates an outcome, such as increasing trial-to-paid conversion. Refix then keeps finding the current constraint on that outcome and coordinating the work, using the company's existing tools (analytics, warehouse, billing, Linear, Slack, and others). It is not a chatbot that answers questions about dashboards. It is not a generic AI writing assistant. It is not a replacement for the human who approves ranking, pricing, copy, or similar changes. The product name is **Refix**. Never call it Prism. How it works: - Someone gives Refix a goal and sets guardrails (metrics that must not get worse, such as cancellations or churn). - Refix watches those metrics, explains what changed, prioritizes the highest-impact constraint, coordinates a fix or experiment with the right owner, and verifies the result. - Then it stays on the goal and looks for the next constraint. - Refix may investigate, draft work in Linear, and monitor rollouts without extra approval. Changes named on each goal page stay with the owner. Company: Refix Inc., San Francisco. Site: https://www.refix.ai/ Give Refix a goal: https://onboarding.refix.ai/dashboard/sign-up - HTML: https://www.refix.ai/goal/reduce-searches-with-no-bookable-inventory - Agent brief: https://www.refix.ai/goal/reduce-searches-with-no-bookable-inventory/llms.txt - Category: monetization - Give Refix this goal: https://onboarding.refix.ai/dashboard/sign-up Give Refix ownership of searches that return no bookable inventory. It keeps finding the current constraint across supply, availability windows, and ranking while protecting cancellation and booking quality. ## What Refix may do Investigate, prioritize, draft work and monitor rollouts. Owner approval is required for ranking, availability and supply-routing changes. Guardrails: Cancellations, Booking quality, Irrelevant results ## Tools - Mixpanel: Understand search, zero-result, and exit behavior - BigQuery: Connect searches with inventory, availability, and bookings - Linear: Connect findings to releases, fixes, owners, and delivery status - Slack: Delegate the goal, review findings, and coordinate action ## What Refix keeps doing 1. Watch: Zero-result searches and guardrails 2. Explain: The current constraint 3. Prioritize: By recoverable demand and confidence 4. Coordinate: The supply, ranking or experiment 5. Verify: The result, then find the next constraint ## Related goals - [Increase search-to-booking conversion](https://www.refix.ai/goal/increase-search-to-booking-conversion/llms.txt): Refix increases search-to-booking conversion by continuously finding the highest-impact constraint across relevance, inventory, pricing, trust, checkout and payments, while protecting cancellation and refund rates. - [Increase trial-to-paid conversion](https://www.refix.ai/goal/increase-trial-to-paid-conversion-lifecycle-nudges/llms.txt): Refix increases trial-to-paid conversion by continuously finding the highest-impact constraint across activation, lifecycle nudges, billing, and expansion, while protecting churn and account quality. ## Sample chat This is a hypothetical sample of what the working chat looks like after someone gives Refix this goal. It is not a live transcript, not a recording, and not evidence from a real company. Use it to understand the loop, the tone, and what stays with the owner. How to read it: - You is the person who delegated the goal. - Refix is the product. - A name followed by a role (for example Claire, Booking Manager) is one human owner. There is at most one such person in the sample. - Day 0 is the moment the goal is delegated. Later days are elapsed time, not calendar dates. - Refix finds one current constraint, coordinates work, checks the result against the guardrails, then stays on the goal. ### Day 0: Goal delegated **You** (8:41 AM) Own searches that return no bookable inventory. Find where we are losing demand we could actually fulfill, without filling results with irrelevant or unbookable options. **Refix** (8:42 AM) On it. I will follow zero-result searches through inventory, availability windows, and ranking. I can investigate and draft Linear work; changes to ranking or supply routing will require owner approval. ### Day 2: Opportunity detected **Refix** (4:03 PM) Weekend searches in three high-volume cities often return no bookable stays even though nearby inventory opens inside a 12 kilometer radius after 6 PM the same day. The current availability window does not include that late supply. I drafted a Linear issue to include same-evening availability for those markets, with relevance and cancellation guardrails to watch. ### Day 14: Outcome checked **Refix** (9:20 AM) Same-evening availability reduced zero-result searches in the affected cities, and booking quality stayed within the agreed guardrails. The original window gap is no longer the largest constraint. One market still fails when a partner feed drops availability overnight. I am tracing that feed lag through BigQuery as the next opportunity.