TripCopilot for travel businesses

Turn holiday browsing into qualified enquiries

Give customers a guided way to discover the holidays they are most likely to enjoy—using your brand, your saleable products and your enquiry or booking journey.

Run a tailored agency test Discuss your inventory

Each specialist demo uses five short steps. Only the category-defining context is applied automatically; dates, budget, weather and customer preferences are never invented. The public demo uses TripCopilot's planning library, not a travel company's live feed.

Customer briefYour eligible inventoryExplainable shortlistYour enquiry or booking flow

Working product, not a slide deck

What you can test today

Use the public matcher as a traveller would. Try a mainstream family holiday, a honeymoon, a multi-stop tour or a specialist ski, northern-lights, diving or wellness brief. Inspect the reasons, score breakdown, no-match behaviour and full guides.

490active destination and touring guides5focused specialist screens10questions in the complete public journey7explainable top matches

These are current public-demo coverage figures—not claims about sales uplift, bookings or supplier availability.

BreadthOne interface handles short-haul, family, premium, touring and specialist briefs without collapsing them into the same generic quiz.

Honest outcomesFirm requirements can produce a genuine no-match result and suggested adjustments rather than an unsuitable product being forced into first place.

Reasons an adviser can inspectEvery recommendation records the month, estimated journey, planning cost, fit evidence, cautions and score components behind it.

Customer-ready journeysThe experience is responsive, keyboard accessible, shareable and designed to hand a useful brief into the next stage.

Important distinction: TripCopilot.co.uk proves the recommendation experience and breadth of the model. It does not prove a connection to your booking engine, live prices or availability. Those become authoritative only after your product data and rules are mapped and tested.

A repeatable agency test

Test four briefs, not only the easiest one

Each route uses five short steps that can genuinely vary for that specialist. Category-defining context is applied automatically: a honeymoon starts as a couple with romantic fixed; a family journey starts family-friendly; a touring test is restricted to touring and multi-stop products; and the northern-lights test starts with aurora fixed. Temperature and rain start as no preference, while dates, budget and the other visible choices remain for the tester to set. The public demo still uses planning records rather than live products.

Mainstream family package

Choose dates, length, departure and journey limit, any budget or accommodation minimum, and an optional setting.

Already set: Family with children and family-friendly. Nothing else.

Inspect

Whether family suitability follows the customer's choices without invented weather, board or pace preferences.

Run the tailored five-step demo

Luxury honeymoon

Choose dates, length, departure and journey limit, any budget or accommodation minimum, and an optional setting.

Already set: Couple, honeymoon and romantic. Those irrelevant choices are not asked again.

Inspect

Whether the occasion changes what Luxury should deliver without turning planning estimates into fake quotes.

Run the tailored five-step demo

Tailor-made multi-stop tour

Choose dates, length and party, departure and journey limit, any budget or accommodation minimum, and an optional must-include place.

Already set: Only touring and multi-stop products can qualify.

Inspect

Whether a firm place and touring format produce a deliberately sparse, explainable shortlist rather than broad filler.

Run the tailored five-step demo

Northern-lights specialist

Choose dates, length and party, departure and journey limit, any budget or accommodation minimum, then any deliberate temperature or rain preference.

Already set: Northern lights. Nothing else.

Inspect

Whether darkness and season remain firm enough to prevent an attractive but impossible strong recommendation.

Run the tailored five-step demo

Five checks for your evaluation

Did every firm requirement survive the ranking?
Could an adviser explain why the first result leads?
Were costs, journey time and compromises stated plainly?
Did a narrow brief stay narrow instead of being padded?
Would the result be useful if each card were one of your saleable products?

From demonstration to production

What changes for an agency version

The public site recommends planning guides. An agency implementation recommends only product records that your integration says are eligible and sends the customer into the commercial journey you already operate.

Layer	Public TripCopilot demo	Your production version
Catalogue	TripCopilot destination and itinerary planning records	Your product IDs, destinations, departures, rooms, boards, durations and sale status
Price	Clearly labelled planning estimates	Your authoritative current price and pricing basis, or no price where the source cannot supply one reliably
Eligibility	General season, budget and trip-fit rules	Your child-age, occupancy, departure, room, board, booking-window and availability rules
Presentation	TripCopilot brand and general guide copy	Your design system, product content, imagery, disclosures and calls to action
Conversion	Share, print and continue researching	Your enquiry form, appointment, adviser hand-off, CRM lead or booking-engine deep link
Measurement	Local browser state; no behavioural analytics	An agreed event plan for starts, completions, recommendations, product clicks and qualified leads

How the systems fit together

1. CustomerBuilds a structured holiday brief on your website.

2. EligibilityYour availability and booking rules remove products that cannot be sold.

3. MatchingEligible products are ranked against the customer's stated needs.

4. HandoffProduct IDs and the brief enter your adviser, CRM or booking journey.

Inventory connection

The right connector depends on what your existing platform exposes. Discovery starts with a representative data sample and documentation, then agrees the safest supported route—such as a server-side API, scheduled feed, CMS export or another documented interface. No connector is claimed until it has been checked against your system.

IdentityStable product, departure, property and room identifiers prevent duplicate or ambiguous recommendations.

SaleabilityDates, departure points, duration, occupancy, child ages, board, availability and booking status determine whether a product can appear.

Commercial dataPrice, currency, pricing basis, inclusions, product URL and booking or enquiry action remain sourced from your systems.

Fit dataDestinations, experience tags, family suitability, accessibility evidence, pace and specialist attributes are mapped to the recommendation model.

Can your product data support this?Use the field-by-field readiness guide before sharing a representative sample.

Check integration readiness Download the CSV checklist

Customer fit first

Recommendation controls that an agent can trust

The language model must never be allowed to invent price, stock or a completed action. Deterministic gates keep the commercial record authoritative and make the recommendation path testable.

Reject stale, malformed or unavailable records. A product that fails the agreed eligibility contract does not appear.
Preserve non-negotiables. Exact places, viable specialist seasons, party rules and other firm requirements cannot be offset by unrelated strengths.
Rank customer fit. The eligible pool is scored against the preferences and tolerances the customer actually supplied.
Apply commercial policy transparently. Commission or campaign preferences may break an otherwise credible tie only inside agreed customer-fit boundaries; they do not make an unsuitable trip suitable.
Use authoritative actions. Product links, prices, lead destinations and booking state come from validated configuration and source data, not generated wording.

What can reach an adviser or CRM

The exact payload is agreed during discovery. A useful hand-off can include the following structured, auditable fields without forcing an adviser to reconstruct the conversation.

Customer contact and consent stateDates, party, departure and budgetExperience and accommodation preferencesMust-include and firm requirementsRecommended product IDs and rankFit reasons, cautions and adjustmentsSource page and campaign attributionCreated time and deduplication identifier

Lead submission should be idempotent: retries use the same authoritative lead or event identifier so a network failure cannot create duplicate emails, CRM records or adviser tasks.

A scoped integration

How a project moves from fit check to launch

Discovery: map your catalogue, customer journey, commercial rules, technical constraints, data responsibilities and success measures.
Data contract: validate representative records, stable identifiers, update frequency, error handling and the authoritative source for each field.
Prototype: connect a bounded, representative slice of inventory and test the full brief-to-product-to-lead path.
Recommendation QA: run agreed traveller scenarios, hard-rule failures, stale data, duplicates, empty results, pricing changes and accessibility checks.
Production integration: apply your brand, deploy through the agreed architecture, connect analytics and monitor failures without exposing secrets or customer information.
Controlled improvement: review real search and conversion evidence, then adjust questions, content or ranking policy without bypassing the customer-fit safeguards.

No invented implementation estimate. Timescale and cost depend on the quality of the inventory feed, number of product types, booking rules, CRM or booking integration and governance requirements. A credible estimate follows technical discovery and a representative data sample.

What you receive

Branded customer experienceResponsive recommendation journey using your visual system, wording and accessible interaction patterns.

Documented product mappingDefined required fields, validation, refresh behaviour, identity rules and fail-closed handling.

Explainable ranking policyCustomer-fit logic, hard gates, tie-breaking boundaries and representative regression scenarios.

Conversion hand-offValidated product and brief data passed into the agreed enquiry, adviser, CRM or booking route.

Measurement planEvent names and success measures agreed against your current baseline; no fabricated uplift claims.

Operational handoverConfiguration, monitoring expectations, failure paths and ownership documented for the people running it.

Straight answers

Questions a travel business should ask

Will it recommend something we cannot sell?

A production build should only rank products that pass your current eligibility contract. Missing, stale or invalid saleability data fails closed. The public demo has no supplier feed, so it must not be presented as proof of live availability.

Can commercial priorities affect ranking?

Yes, inside a documented boundary. An eligible campaign or preferred product can break a credible fit tie, but commercial value should not override a firm customer requirement or promote a materially weaker trip as the best match.

Does it replace our booking engine or advisers?

Not by default. It can sit before the systems you already use: helping a customer discover suitable products, sending a structured brief to an adviser, or deep-linking to an existing booking path where that is technically reliable.

Can it use our own content and brand?

Yes. The production scope can use your design system, product content, imagery, disclosures and tone. Ownership and permitted reuse of every source should be agreed before ingestion.

Is this an AI chatbot?

The current public ranking is deterministic and explainable. Generated language can be optional in a production scope, but it must not control stock, price, eligibility, permissions, lead submission or booking actions.

How is customer information handled?

The production architecture, retention, controller and processor roles, consent wording and subprocessors are agreed for your use case. Secrets stay server-side, only necessary data is collected, and lead or analytics events must follow the agreed privacy contract.

Can it be embedded on any website immediately?

No. The public site is intentionally restricted. A production deployment may use a branded page, subdomain, component or allowlisted frame depending on your stack, security policy, accessibility needs and preferred customer journey.

How do we know recommendations are good?

Before launch, representative briefs are turned into regression tests covering expected inclusions, exclusions, ordering, no-result cases and edge conditions. After launch, behaviour can be reviewed against qualified-lead and conversion evidence without silently changing hard safeguards.

Start with the systems you already have

Discuss an agency version

Share enough non-sensitive context to make the first conversation useful. Do not send API keys, passwords, customer records, supplier credentials or confidential inventory files through this form.

Your name Work email Business name WebsiteOptional, but useful for understanding the current journey. Business type Current product source Primary goal Inventory or CRM platformDo not include credentials or private access links. What should the customer journey achieve?

Your information will be used to respond to this enquiry, not to add you to an automated marketing list. Read the privacy notice.

Prefer email? Write to max@brocklesby.ai.