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Case study · Experience economy

Global Experience Concierge.

A multi-agent concierge that takes a customer from a vague gift idea to a specific, bookable experience in the right city, across five countries and more than seventy cities, without adding support headcount.

Before5 countriesCatalogues, pricing and availability that differ by region, so enquiries either tied up staff or bounced off vague answers and walked
After2 to 3 sFor the full retrieval-and-response path from a single conversational entry point, down from 4 to 5 seconds
Experience concierge
01 · Overview

From a vague idea to a bookable experience.

A global experience-gifting platform operating across five countries and more than seventy cities was fielding a high volume of pre-booking enquiries where product catalogues, pricing and availability differ meaningfully by region. Seasonal spikes routinely outstripped support capacity.

NFI built a multi-agent orchestrated concierge that routes each enquiry by detected region and topic to a specialist, retrieves matching experiences from a large curated knowledge base, and guides the customer toward a booking link.

02 · The problem

The right experience, in the right city, for the right person.

Something memorable for my parents' anniversary is not a search query, and a generic chatbot could not be trusted to match it to a specific experience in a specific region.

01

Regional variation

Products, pricing and availability differed across five countries and seventy cities.

02

Trust in the match

A generic assistant either tied up human staff or gave vague answers that customers walked away from.

03

Seasonal spikes

Peak periods outstripped support capacity, and headcount was not the answer.

03 · The solution

Triage, specialists, and retrieval built for speed.

01

Triage orchestrator

An orchestrator reads each enquiry and hands it to a regional specialist or a topic expert trained on the client's highest-volume enquiry categories, each speaking in a locally appropriate tone.

LayerAgents
02

Hybrid retrieval

Specialists retrieve matching experiences from a large curated knowledge base using a hybrid semantic-plus-keyword search pipeline, generate qualifying questions, and guide customers toward booking links.

LayerRetrieval
03

Latency and resilience

Query generation runs in parallel with retrieval to cut latency on the full response path, long conversations summarise themselves so memory stays coherent, and a multi-model fallback chain keeps the service available when individual providers degrade.

LayerPerformance
04 · The results

One entry point, seventy cities, seconds to answer.

70+Cities across five countries covered by regional and topic-expert specialists from one conversational entry point
HybridSemantic plus keyword retrieval over a large curated experience knowledge base
2 to 3 sFull retrieval-and-response path after parallelising query generation, down from 4 to 5 seconds
99.9%Uptime target supported by a multi-model fallback chain with graceful degradation
05 · More work

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