Episode
19

How To Build A Best-in-Class Restaurant Tech Stack - Jackson Versitano

Watch extracts

5 UK Restaurants Close Daily - Here’s What Scaling Gets Wrong | Supy Talks Ep19

Advice to Restaurateurs Looking to Scale | Supy Talks Ep.19

Retail vs Hospitality: The Brutal Difference Operators Forget | Supy Talks Ep19

Should Restaurants Rush Into AI? | Supy Talks Ep.19

Guest & host

Armando
/
Head of Integrations & Partnerships
/
Supy

Episode Summary

Scaling in hospitality breaks when operators underestimate how different restaurants are from retail. In this episode, Jackson Versitano explains why hospitality businesses operate under tighter trade windows, perishable inventory, and margin pressure that retail simply doesn’t face. If a retail store has a bad day, stock remains on the shelf. In hospitality, it goes in the bin.

Drawing on over a decade across retail and hospitality technology, Jackson shares what actually enables sustainable growth: a clear concept, the right location, disciplined menu engineering, strong teams, and a scalable technology foundation. From POS as the “brain” of the business to best-in-class integrations and a practical approach to AI, this episode offers a grounded blueprint for scaling without losing control.

Learnings From The Episode

Jackson has worked at the intersection of retail and hospitality tech for over ten years. Across both industries, he’s seen one consistent truth: scaling exposes weak foundations. In restaurants, those weaknesses surface faster and more painfully because of perishability, labour complexity, and tighter margins.

Hospitality is not retail - and that changes everything

A core reset Jackson shares is simple: hospitality cannot operate like retail. Retail runs 24/7. Hospitality runs within strict trade windows.

If you miss your forecast in retail, the stock is still sellable tomorrow. In restaurants, a bad day often means wasted inventory and lost revenue that cannot be recovered. That makes timing, forecasting, and operational precision critical.

Why scaling breaks restaurants

Every day in the UK, multiple restaurants close due to insolvency. Often, it is not the first site that fails. It is the second or third.

Growth magnifies:

  • Weak concept clarity
  • Poor location decisions
  • Operational inefficiencies
  • Fragile team structures
  • Technology limitations

Scaling does not fix foundational problems. It accelerates them.

Concept is king. Location is critical.

Before opening additional sites, operators must be clear on:

  • Who their target audience truly is
  • What experience they are delivering
  • Whether the location aligns with that concept
  • Whether demand supports the model

Concept and location are not creative decisions. They are commercial decisions.

Two non-negotiables when scaling: people and technology

Jackson highlights two levers that determine whether multi-site growth succeeds:

1) People
Hospitality already struggles with staffing. When scaling, operators cannot make the same decisions they made as a single site. Leadership bench strength, hiring discipline, and operational alignment must evolve.

2) Technology
The software stack that works for one location rarely works for five. Multi-site visibility, centralized reporting, inventory control, and integrations become essential.

Technology must scale with the ambition of the business.

POS as the brain of the business

Jackson explains how POS should function as the operational brain. It captures sales data, service flow, customer behaviour, and performance trends. But POS alone is not enough.

The future lies in best-in-class ecosystems:

  • POS as the core
  • Inventory management for margin visibility
  • Reservations and CRM for guest insight
  • Accounting integrations for financial clarity

All-in-one systems may seem simple early on, but as complexity grows, flexibility becomes essential.

Data before AI

AI is one of the most discussed trends in hospitality. Jackson’s perspective is pragmatic:

Do not adopt AI because it is trending.
Adopt it because your business has a defined need.

Without clean, structured data, AI becomes noise. Operators should:

  • Fix foundational reporting first
  • Ensure inventory and sales data are reliable
  • Identify real operational bottlenecks
  • Start small and layer AI intentionally

Garbage in, garbage out becomes amplified with AI.

Menu engineering and margin control

Restaurants operate like micro-factories. Every dish contains multiple ingredients, each with fluctuating costs and supplier dependencies. Margin control requires:

  • Accurate recipe costing
  • Real-time supplier price tracking
  • Cross-sell strategies that improve bottom line, not just revenue
  • Ongoing analysis of menu performance

Revenue growth alone does not protect profitability. Margin discipline does.

Partnerships power scalability

One of the strongest themes in the episode is ecosystem thinking. No single platform can solve every operational need at scale.

Strong integration partnerships allow operators to:

  • Add capabilities as they grow
  • Avoid disruptive system replacements
  • Maintain flexibility
  • Stay focused on core strengths

Scalable growth requires modular infrastructure.

The scaling mindset shift

Perhaps the biggest lesson from the episode is this:

The decisions that built your first site will not build your fifth.

Scaling requires:

  • Structured data visibility
  • Strong leadership bench
  • Operational consistency
  • Technology that evolves with complexity
  • Discipline over trend-chasing

Hospitality is unforgiving when foundations are weak. But when concept, people, and systems are aligned, growth becomes sustainable.

Ready to optimize your restaurant operations?

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