Applied AI for Eateries
Rising costs, lower consumer spending power and shortage of hospitality workers means there is an increased focus on customer experience and operational efficiency.
This is against a backdrop of a sector transition to digital services, an evolving post pandemic high street and increasingly vocal customers.
Improving customer experience is core for the eateries sector.
Applied AI can help increase revenue opportunities and reduce costs. AI brings together the best from data, maths and technology to automate processes and make much better informed and consistent decisions.
These opportunities include choosing the best sites for expansion, customer experience optimisation and operational efficiency, AI plays a key role in giving innovative eateries a competitive edge.
Successful AI projects have clear specific goals.
Algospark specialise in short, targeted projects that deliver clear business benefits.
We work with our clients to scope, prototype, optimise, build and pilot.
We are agile, fast to deliver and are a great addition to your internal teams.
Algospark Solutions for Eateries
: Algospark Core Insights allows clients to get more from data. Many organisations know they have lots of data, but they also know they are not getting the most from it.
: a fast track decision support for new site investment.
It allows easy interpretation of location data and store portfolio data to make expansion decisions.
Co-ordinated product sales forecasting across ordering, staffing and production.
This means you serve fresher food, waste less and have the right people working at the right time.
We bring together data, AI and technology to forecast product sales and integrate these forecasts to other operational processes.
We use trading history, location factors, weather, holidays, events and other parameters that affect your business.
Data Driven Hospitality is a flexible framework that sits alongside your existing systems.
Automated Activity Tracking
is a suite of computer vision tracking solutions that capture activities in and around physical locations.
It covers site activity, customer experience, display activity, production and labour activities.
Azure proactive customer management: a solution that predicts customer interaction needs, then prioritises and prescribes optimal interactions.
Targets increased revenue per customer, increased customer satisfaction and a reduction in customer churn.
Customer feedback framework that brings together disparate data sources and maps meaning to customer interactions to deliver actionable analysis and recommendations.
Bespoke Applied AI Solution Development
: identifying challenges and opportunities in an organisation to then deliver innovative new services and process efficiencies using a mix of data, maths and technology.
Please get in touch to explore these ideas and opportunities further.
We would love to hear from you.