Applied AI in Hotels sector

Sectors  /  Hotels

Challenges

The hotel industry is on a strong recovery path following on from the impact of the pandemic. However there are challenges with demand forecasting, site selection and site portfolio optimisation, pricing, cost pressures and attracting back staff to the sector. There are also higher customer expectations and higher levels of feedback and comments posted on social media.

Opportunities

Improving customer experience is core for the hotel 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 site optimisation, optimising pricing and revenue management for rooms, customer experience optimisation and operational efficiency, AI plays a key role in giving innovative hotels a competitive edge.

Our Approach

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.

Hotels Sector Frameworks

Location Spark
Location Spark is a decision support framework for new site investment. It predicts sales, store characteristics and trading patterns for locations throughout the UK. Location Spark presents new site forecasts and key location metrics by bringing together numerous data sources and applied artificial intelligence. Location Spark is a proven and powerful tool that helps make better and faster new site selection decisions.
Dynamic Pricing Optimisation
Applied machine learning framework to optimise opening and closing of available pricing tiers. Targets 1-3% revenue uplift from optimising balance between increasing demand and increasing average sale price.
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Automated Activity Tracking
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.
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Azure Proactive Customer Management
A Microsoft Azure Proactive Customer Management solution that brings together AI, Azure and customer management. Targets increased revenue per customer, increased customer satisfaction and a reduction in customer churn.
Co-ordinated Customer Voice
Customer feedback framework that brings together disparate data sources and maps meaning to customer interactions to deliver actionable analysis and recommendations.
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Contact
+44 207 558 8728
info@algospark.com
3rd Floor, 207 Regent Street
London, W1B 3HH. UK
Interested in working in analytics and applied AI? Contact us at careers@algospark.com
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