Applied AI in Retail
New business models, disruptive technologies and innovative market entrants are changing the way people engage with retailers.
Customer choice, shopping channels and the way that customers interact with retailers is changing.
Retailers need to evolve their offerings to deliver integrated multi-channel customer experiences.
Adoption of new technologies and ways of working can help retailers improve their offering and keep ahead of evolving consumer preferences.
And all this whilst managing inflationary pressures on costs.
Opportunities to improve customer experience span all facets of the retail business.
Applied AI can help increase revenue opportunities and reduce costs right across the retail workflow.
AI brings together the best from data, maths and technology.
From choosing the best sites for expansion to improving the customer journey to enhancing customer support services and improving operational efficiency, AI plays a key role in giving retailers 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 Retail Sector Solutions
: 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.
Retail Cube: brings together data, AI and technology to forecast product sales, optimise pricing and integrate these forecasts to other operations processes and existing systems such as ordering and stock management.
We use trading history, location factors, weather, holidays, events and other parameters that affect your business.
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.