INDUSTRIES

Hospitality

Every shift, every cover, every margin point - under control.

The Challenge

The average multi-site hospitality operator spends 2 days per week per manager on scheduling, reporting and support tasks that AI can automate.

Labour Overspend
Manual rota planning ignores footfall patterns, weather and local events - producing chronic overstaffing and labour cost overruns across the estate.
Operational Blind Spots
Operators can't answer basic performance questions without analysts support - slowing decisions across every site and region.
Reporting Bottlenecks
Finance and ops teams spend days consolidating performance data that should be available instantly across the estate.
Support Request Overload
100+ weekly support tickets from store users with no automated triage means slow resolution times and growing managed services costs.

The Solutions

USE CASE 01

AI Agent: Labour Scheduling Optimisation

From manual rota planning to optimised shift schedules - by store, by time slot, every week.

Pain Point

Managers build rotas manually using last year's patterns and gut-feel, leading to chronic over- and under-staffing. Labour is the largest controllable cost - yet it's managed with the least data.

Our Solution

An AI agent ingests POS transaction history, weather, local events and historical staffing data to generate optimised shift schedules by location, role and time slot - every week, automatically.

Impact

Labour cost reduced by 2% to 3%
Overstaffed shifts cut by 40%
Manager scheduling time halved per week
USE CASE 02

LLM Data Intelligence Analyst

From 2-day analyst turnaround to answers in under 60 seconds - in plain English.

Pain Point

Operators and finance teams need 1-2 days to get answers to straightforward business questions - because they depend on a small analyst team to pull and interpret data.

Our Solution

An LLM deployed on top of your unified data model answers questions in plain English - returning sourced, formatted responses in under 60 seconds. No SQL. No analyst queue.

Impact

Query turnaround reduced from 2 days to under 60 seconds
Analyst bottleneck removed
Adopted by 90% of regional managers
USE CASE 03

Agentic Support Request Handling

1,000 minutes of manual support work saved per week. Automatically.

Pain Point

Operations teams manually process hundreds of support requests per week - scheduling queries, supplier issues, compliance tasks - consuming significant management time across the estate.

Our Solution

An agentic system reads, classifies and resolves support requests automatically - routing to the right team, updating tickets, drafting responses and escalating only the exceptions that require human judgement.

Impact

Improved service reliability
1000 minutes of manual support work saved per week
Improved managed services

Let's explore what's possible together.

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