NLDC — Native AI for hotels and shopping centres

The shift already happened

Your visitors are already asking AI. The question is whether it can answer for you.

People increasingly open an assistant before they open a map, a directory or a phone line. They ask in their own words, expect an answer in seconds, and act on the first one that is specific. If your destination cannot answer, the answer still gets given — generic, out of date, or about somebody else's building.

Asked before arrival The decision to visit is made at home, inside a conversation you are not currently part of.

Answered in seconds An assistant that replies in under three seconds becomes the standard your information desk is measured against.

Acted on immediately Whatever is recommended first is where the visit — and the spend — begins. Being answerable is the new frontage.

01 — The shift

A directory tells them what is here. AI understands what they need.

A destination may contain hundreds of stores, restaurants and services, and thousands of products. Yet visitors are still expected to search it one name at a time.

Pick a question a real visitor would ask. The concierge resolves it against the centre's own data — understanding intent, budget, occasion and time, then guiding the visitor to the right places inside your building.

NLDC Concierge · demo

Illustrative demo · answers drawn from a centre's own approved data

One conversation can connect several tenants. Someone attending a wedding can be guided to clothing, shoes, accessories, cosmetics and beauty services — all inside your destination. Relevant promotions and events appear only when they genuinely match what the visitor asked for.

Before arriving

Plan the trip, and confirm you have it

Visitors use the assistant to check that your centre can actually deliver what they need — which is the moment the visit is won or lost, and the moment you are currently absent from.

Inside the centre

Choose, navigate, discover

It helps them decide between options, guides them to the unit, and surfaces businesses they would otherwise walk straight past — including the ones without the best position in the building.

Tenants join at the level they can manage.

No tenant is asked to run an integration project on day one. The richer the data a tenant provides, the more precisely the AI can recommend a specific product that is genuinely in stock.

Describe A short description of what the store offers. Minutes to provide, and enough to be recommended.

Enrich Opening hours, key products, food-court menus, promotions and events, kept current through simple tools.

Connect Product catalogue, live stock and existing systems via API — so answers name the product, size and price.

02 — Business outcomes

Five outcomes an operator can hold a team to.

03 — Everywhere the visitor already is

One concierge. No language barrier.

Visitors communicate naturally in their own language and receive the same approved information — about stores, products, menus, parking, navigation, opening hours, accessibility, family facilities, events, promotions, public transport, lost & found and centre services.

Your website

Your app

QR touchpoints

Kiosks

Other channels

Finally, a reason to download and keep using your app.

Not another digital directory — a personal assistant in every visitor's pocket, which is what turns an app install into a habit.

04 — From footfall to intent

You know how many people visit. Now know what they came for.

Footfall, transactions and movement analytics show what customers did. They rarely reveal what customers intended to do, what they could not find, or what stopped them buying. Conversations do — aggregated, and configured around your privacy, consent and data-governance requirements.

Demand signal · last 30 days · illustrative sample

The question most operators cannot answer today: what are customers repeatedly asking for that your destination does not currently offer?

Questions your teams can finally put a number against — aggregated from real conversations, never from individual profiles:

01Which products, brands and price ranges are visitors searching for?

02What occasions are they shopping for?

03Which cuisines and dietary options are in demand?

04What do international visitors need most?

05Which services are difficult to find?

06What causes confusion, frustration or repeated questions?

07What feedback are visitors giving about the centre?

08And the one most operators cannot answer: what do customers keep asking for that you do not offer?

It also gives smaller or less visible businesses a genuine route to discovery — based on relevance to what a visitor asked for, not on storefront size, position in the building or advertising budget.

05 — Controlled by you

One controlled intelligence layer across the whole estate.

The value of AI depends entirely on the quality of the information behind it. Our systems run on your private, continuously maintained knowledge base — not generic answers scraped from the open internet. Information is managed centrally, while individual tenants get simple tools to keep their own data current.

Centre informationStoresProductsStock Restaurant menusPromotionsEventsServices Indoor maps & navigationExisting systems & APIs

06 — Where we operate

Two destinations. The same disciplines.

Hospitality

Hospira.ai ↗

Hotels & hotel groups

An invisible intelligence layer that turns guest curiosity into service — and into revenue. The guest taps an NFC puck or scans a QR code. No app, no login, no account.

70%of hotel services go undiscovered by guests

< 3sto answer, against a 4+ minute front-desk wait

60%fewer calls reaching the front desk

3×more 5-star reviews versus no prompting

A digital butler trained only on that property's own data
Upsell surfaced in context — spa, dining, late check-out, transfers, parking, tours
Requests routed automatically to the right department
Unhappy guests routed privately to management before a public review
Live in 72 hours, with the knowledge base built for you

Chosen inside the Hyatt family by Lindner by Hyatt

Retail destinations

AI Shopping Concierge

Shopping centres

A personal shopping assistant for every visitor — and the demand intelligence underneath it. What people wanted, not only what they did.

100sof stores a visitor still searches one at a time

1 chatcan connect several tenants in one answer

13+information domains, from parking to lost & found

0generic internet answers — your approved data only

Plan-before-arrival, then guidance inside the centre
Cross-tenant recommendations in a single conversation
Leasing and marketing intelligence from real visitor demand
Tenant self-service for catalogues, menus, stock and promotions
Smaller tenants discovered by relevance, not by rent line

Built on the disciplines proven in hospitality

07 — Why this, and why us

The hard part is not the model. It is the data behind it.

Anyone can put a chatbot on a website. What decides whether it gets used twice is whether it answers correctly, in the visitor's own language, about your building — and what it does when it does not know.

What breaks today

Services and tenants that visitors never discover
The same questions answered by staff all day, in every language
A directory that lists names and understands no intent
Analytics that report what happened, never what was wanted
An app with no daily reason to be opened
Generic AI that invents an answer and costs you trust

How we build it

A closed knowledge base per property — your data, not the open internet
When something is not known, it escalates instead of inventing
EU data residency, GDPR, and isolation between properties
Native-level answers in every language your visitors actually use
White-glove onboarding — we build the knowledge base with your team
Integrated with the systems already running the operation, and maintained after go-live

08 — The company

Built for complex, real-world operations.

NLDC s.r.o. is a Prague-based AI company. We implement and maintain AI solutions for hotels operating under international brands including Hyatt and Wyndham, alongside other hotels and hospitality groups. Those environments demand exactly what retail destinations demand.

Hyatt Wyndham and other hospitality groups

AccuracyMultilingual communication Continuously maintained dataIntegration across complex operations

Data

Where does the data live?

EU data residency and GDPR compliance, with isolation between properties. Deployment is configured around your privacy, consent and data-governance requirements — not ours.

Accuracy

What happens when it does not know?

It says so, or escalates to a human. Answers are drawn only from your approved knowledge base, never from the open internet — which is what makes an inaccurate answer a fixable data problem rather than a reputational one.

Effort

How much work is this for our team?

We audit your existing menus, PDFs, guides and systems and build the knowledge base with you. On the hotel side, properties go live within 72 hours of signup.

Tenants

What do tenants have to do?

As little as one paragraph describing what they sell. Everything beyond that — menus, promotions, catalogues, live stock — is optional and improves how precisely they get recommended.

Reach

Which languages, and on which channels?

Every language your visitors actually use, at native level, from one approved source — on your website, in your app, through QR touchpoints and on kiosks.

After launch

Who keeps it correct?

We do. Continuously maintained data is an operating discipline, not a launch task — which is precisely why hotel groups running under international brands keep us on after go-live.

Accuracy before novelty

Answers come from approved data. When something is not known, the system says so instead of inventing it.

EU-compliant by design

Operating across the EU, configured around your privacy, consent and data-governance requirements.

Native, not bolted on

Integrated across large, complex operations and the systems already running them — and maintained after launch.

Start

Let's put this in front of your visitors.

We'll walk your team through the concierge, the intelligence layer and what integration looks like in your environment.

contact@nldc.cz Try the demo again

Entity: NLDC s.r.o.
IČO: 28919726
DIČ: CZ28919726
Data box: mvtixby
Address: Na Malé Šárce 801, Nebušice
164 00 Praha, Czech Republic

A concierge for every visitor. Intelligence for every decision.