LTLet's Connect
Business area digitalisation analysis

Restaurants and catering businesses: digitalisation analysis

How to connect menus, order channels, kitchen capacity, food cost and waste control

Digital maturity

Typical digital maturity

Shows the level of technological and process digitalisation at which companies in the sector or business area typically operate today.

A typical market situation is assessed, not the most advanced companies.

The assessment consists of five equally weighted dimensions:

Core system usage
Whether ERP, CRM, WMS, MES, customer portals or other operationally important systems are widespread in companies.
Process digitalisation
How many core processes run in systems and how many are still managed manually.
Systems integration
Whether core systems exchange data between themselves or whether employees transfer information manually.
Data quality and readiness
Whether core data is structured, up-to-date, consistent and suitable for automation and analytics.
Advanced data use
Whether real-time analytics, forecasting, automated alerts, optimisation models or AI are used.

The final score is the average of the five dimensions.

1–5 scale

  • 1 very low maturity
  • 2 low maturity
  • 3 medium maturity
  • 4 high maturity
  • 5 very high maturity

A low maturity score does not necessarily indicate low potential. On the contrary, low maturity and a high level of manual work may indicate significant untapped digitalisation value.

medium
Skaitmenizacijos potencialas

Digitalisation potential

Shows how much significant business value a typical sector or business area company can create by systematically digitalising core processes.

The rating is calculated on a 100-point scale across five dimensions:

Process frequency and scale 20 %
An assessment of how frequently the digitalised processes recur and what proportion of operations they represent.
Manual work intensity 20 %
An assessment of the extent to which processes depend on email, telephone, Excel, paper documents and repeated data entry.
Impact on revenue and costs 25 %
An assessment of the potential effect on sales, margin, customer retention, administrative costs, errors, downtime or inventory.
Growth and scale potential 20 %
An assessment of whether digitalisation would enable operational capacity to be increased without expanding headcount and costs at the same rate.
Impact on decisions and risk 15 %
An assessment of the potential effect on data reliability, decision-making speed, customer experience, and the reduction of errors and operational risk.

The final score is calculated according to the assessments and weights of all dimensions.

100-point scale

  • 0–20 very low potential
  • 21–40 low potential
  • 41–60 moderate potential
  • 61–80 high potential
  • 81–100 very high potential

A high score does not mean the solution will be easy to implement. It indicates the size of the potential value, not the implementation complexity.

89/100
Biggest challenge
Table, kitchen and delivery capacities are misaligned across channels
Biggest opportunity
Single flow of orders, kitchen and consumption

The greatest digital value lies not in yet another ordering channel, but in the ability to reliably convert each order into kitchen work and measured consumption.

Operating model of restaurants and catering businesses

The business area includes on-site catering, takeaway, delivery, event catering and other food production and sales models. Business performance depends on the ability to coordinate menu, ingredients, kitchen capacity, staff, order channels, delivery and food safety requirements in real time.

Decisions are made within minutes

During peak times, order acceptance, kitchen load and dish availability must be adjusted in near real time.

Recipes connect quality, safety and economics

The composition of each dish determines allergens, ingredient requirements, cost price, portion standard and write-offs.

Multiple sales channels compete for the same capacity

Dine-in, takeaway, delivery platforms and events use the same kitchen stations and staff.

Market and technology context

Food service businesses are driven to digitalisation by multiple order channels, labour and raw material cost pressures, and the need to manage food cost and waste more precisely.

  • Multiple channels compete for the same kitchenDine-in, takeaway, own delivery and platform orders must be accepted based on real station and staff capacity.
  • Food and labour costs squeeze marginsSales reports alone are not enough – the business needs visibility of recipes, actual consumption, wastage and channel commission impact.
  • Accurate menu and allergen data becomes a hygiene foundationA dish change must be reflected uniformly across all sales channels and kitchen workstations.

Typical operating chain

01

Demand and Menu Planning

Customer flow is forecast, menu, pricing, promotions, production plan and staffing requirements are determined.

02

Purchasing and Preparation

Raw materials are ordered, batches received, quality controlled, semi-finished products and workstations prepared.

03

Order Taking

Orders are received from the floor, QR, website, telephone, till or delivery platform.

04

Production and dispatch

The kitchen allocates tasks by station, deadline, modification, allergen and actual capacity.

05

Service, delivery and payment

Order status, delivery, payment, invoice, compensation and customer feedback are managed.

06

Consumption and wastage analysis

Theoretical recipe cost is compared with actual consumption, write-offs, waste and sales performance.

Digital maturity journey

0

Manual kitchen and order management

Menu, orders, production, stock and schedules are managed separately and depend on staff knowledge.

1

Digital sales

POS and multiple order channels are used, but kitchen, recipe and stock data are not integrated.

2

Unified menu and order flow

All channels use the same dish, pricing, allergen and order status data.

3

Integrated production and stock Typical current situation

An order creates kitchen tasks, and recipes and actual completion update consumption and balances.

4

Data-Driven Capacity Siektina

Demand, kitchen stations, staff, menu availability and purchasing are adjusted based on actual data.

5

Proactive Restaurant Network Management

The system forecasts demand, identifies causes of losses and helps optimise menus, portions and capacity.

Key finding

The greatest value lies in a unified order and production chain that connects all channels with actual kitchen capacity, recipes, ingredient consumption and workforce planning.

First version – single-location unified menu and order flow: consistent dish, recipe, allergen and pricing data, multi-channel order transfer to the kitchen, real-time status and basic theoretical consumption comparison.

Related Digitalisation Topics

Menu and Recipe ManagementKitchen Operations SystemFood Cost and WasteDirect Ordering Platform
Next step

Connect orders, the kitchen and food costs

Assess which gap in menu, orders, kitchen capacity, food costs or waste management is currently reducing restaurant margin the most.

Discuss the digitalisation direction