Myrtle Beach, South Carolina

AI and business intelligence for better decisions on the Grand Strand.

ANtreliX is an artificial intelligence and business intelligence consultancy based in North Myrtle Beach. We help rental companies, brokerages, restaurants, attractions, golf courses and medical practices along this coast turn the data they already collect into forecasts, dashboards and plain answers, so the big calls of the year — pricing, staffing, inventory, where to grow — are made from their own numbers.

This page is about using AI to run a business well. If you are looking for AI applied to bringing customers in, see AI marketing in Myrtle Beach.

Aerial view of the North Myrtle Beach oceanfront, with a fishing pier, beachfront towers and the salt marsh behind them
One coast, one season, and a lot of decisions riding on it.
By industry

The decisions we help businesses on this coast make.

Vacation rentals and resorts

Rates, inventory and owners decided on evidence

A rental company holds years of reservation history that almost nobody reads end to end. We turn it into forecasts of pace, occupancy and rate by week, unit type and channel, so pricing and owner conversations rest on numbers rather than on memory of last summer.

  • Booking pace against last year, updated every morning
  • Which properties to take on, and which are costing you money
  • Housekeeping and maintenance capacity planned ahead of turnover days

AI and BI for vacation rental managers →

Real estate

A clear view of the pipeline and the market

Brokerages on this coast sell to a market that is heavily shaped by out-of-state buyers, investors and second-home owners. Pipeline, agent and market data brought together show where closings will come from next quarter and where the brokerage is quietly losing ground.

  • Pipeline and commission forecasts by agent and by month
  • Local price, inventory and days-on-market trends in one view
  • Agent productivity and lead source return measured on closings

AI and BI for real estate brokerages →

Restaurants

Staffing and ordering matched to the covers you will serve

A beach restaurant can double its covers between a wet Tuesday and a sunny Saturday in the same week. Forecasts built from your point-of-sale history, the weather and the events calendar let a manager schedule and order for the week that is coming rather than the one that just ended.

  • Covers forecast by day and shift, weather included
  • Food cost and menu item margins tracked week by week
  • Labor as a share of sales visible before payroll closes

Predictive analytics →

Attractions, golf and entertainment

Capacity, pricing and staff aligned with real demand

Ticket counts, tee times and group bookings follow the season, the weather and the school calendars of the states your visitors come from. Seeing those patterns clearly makes it possible to price, staff and schedule for them instead of reacting after the fact.

  • Attendance and tee sheet utilization forecast weeks ahead
  • Pricing tested against demand by day and hour
  • Seasonal hiring planned from the forecast, not from habit

Predictive analytics →

Medical, dental and wellness practices

Schedules that fill, and a practice that can see itself

Practices serving a growing coastal population deal with no-shows, uneven referral flow and payer mixes that shift year to year. The numbers to manage all of that already sit in the practice management system; they are rarely brought into one place.

  • No-show risk flagged so the schedule can be backfilled
  • Referral sources, payer mix and provider utilization in one dashboard
  • Work from de-identified or aggregate data wherever possible

Business intelligence consulting →

Home services and local retail

Seasonal businesses planned a season ahead

Contractors, landscapers, pool and HVAC companies and local shops ride the same seasonal wave as everyone else on the coast. Knowing which jobs and products earn money, and when demand will arrive, shapes hiring, inventory and cash flow.

  • Job profitability by service, crew and neighborhood
  • Inventory and purchasing tied to the season’s forecast
  • Owner reports assembled automatically every Monday

AI for home services →

What we build

Four kinds of work, whatever the industry.

01

One dashboard instead of nine logins

Business intelligence consulting →
02

Forecasts built on your own history

Predictive analytics →
03

Repetitive reporting and admin automated

Automation and AI agents →
04

A plan before a platform

AI strategy and consulting →
Decisions and marketing

Better decisions here, more customers next door.

Most of the businesses we work with want two things from AI: a clearer picture of how the business is actually doing, and a steadier flow of customers. This page covers the first. The second, from attribution and AI search visibility to lead response and repeat-customer campaigns, has its own page for Grand Strand businesses.

Vacation rental management and real estate are where we go deepest, and the national pages for those two industries carry the detail.

Where we work

Grand Strand and the surrounding area.

  • North Myrtle Beach
  • Myrtle Beach
  • Little River
  • Surfside Beach
  • Murrells Inlet
  • Pawleys Island
  • Garden City
  • Conway
  • Georgetown
  • Calabash and Sunset Beach, NC

Beyond the Carolinas, we work remotely with rental managers and brokerages across the United States, but the businesses on this page are our neighbors, and we are glad to meet in person.

Visit

Find us on Highway 17.

Entrance of the North Myrtle Beach Business Center at 1019 Highway 17 South, home of the ANtreliX office
North Myrtle Beach Business Center, 1019 Hwy 17 S. We are in Suite 119.
Get directions Weekdays, 8 AM to 5 PM. Please call ahead so we are in the office when you arrive.
Questions

The things local companies ask first.

Do you work with businesses in Myrtle Beach in person?

Yes. Our office is in North Myrtle Beach, and for companies along the Grand Strand we do discovery, stakeholder interviews and review sessions on site. The build work happens remotely, the same way it does for our clients in other states.

We run a restaurant, an attraction or a medical practice. Is this for us?

Often, yes. We go deepest in vacation rental management and real estate, but the underlying work of getting your numbers into one place, forecasting demand and automating the repetitive reporting applies to any business on this coast with more data than time. If a project is outside what we do well, we will say so in the first conversation rather than three months in.

How small is too small?

The rough line is whether you already have data worth working with: a year or more of reservations, sales, appointments or transactions in a system you use every day. Below that, the useful answer is often a cleaner spreadsheet and a better weekly habit, and we will tell you so.

What does the first engagement usually look like?

A fixed-scope assessment. We look at the decision you are trying to make, the systems you already pay for, and the data sitting inside them, then come back with what is worth building, what it will cost and in what order. You know the scope and the price of each stage before it starts.

Who owns the dashboards and the data?

You own your data, and you own the dashboards and reports we deliver, with a full export available at any time. The pipelines and refresh logic that keep them current are ANtreliX intellectual property, licensed to you for the term of the engagement. Our written ownership, licence and data export policy sets this out in full before any work begins.

Is this the same as your AI marketing work?

No, though the two often meet. This work is about running the business: forecasting, pricing, staffing, reporting and automation. Our AI marketing work for Grand Strand businesses is about bringing customers in and measuring what that costs, and it has its own page. Many clients start with one and add the other once the data is in one place.

Antonel Neculai Andrew Neculai

Antonel and Andrew Neculai, founders

We are down the road, not across the country.

Tell us the decision you are trying to make. If we are not the right help, we will say so.

Talk to ANtreliX