Customer intelligence is vital for many businesses to give a better understanding of their customer base. DDI is particularly important in retail to provide detailed analysis of shopper activity. Â It can give valuable information about the type of customers visiting stores, help devise strategies to attract different cohorts into shops, organise staffing levels and even determine the effectiveness of new marketing drives and help to target messaging and adverts to specific groups.
Customer intelligence is vital for many businesses to give a better understanding of their customer base. DDI is particularly importance in retail to provide detailed analysis of shopper activity. Â It can give valuable information about the type of customers visiting stores, help devise strategies to attract different cohorts into shops, organise staffing levels and even determine the effectiveness of new marketing drives and help to target messaging and adverts to specific groups.
Data Types
Quantitative – the collection and analysis of numerical data including age and gender, often used to answer questions like ‘what’ and ‘how often’
Qualitative –qualitative data is descriptive rather than numerical values, focusing on the ‘why’ and the reasons behind customer behaviours and habits
Customer profile segmentation   Segmentation Analysis groups retail customers into meaningful segments based on demographic and behavioural characteristics. It gives retailers a raft of insightful data such as busiest times, and the most popular customer segments at specific times of the day.Â
Efficient staff scheduling Being aware of when customers shop is helpful for scheduling rotas for shift workers effectively. The data may show a surge in customers at specific times and days, and managers can choose to assign more staff during that period. Similarly, at times of the day when there are fewer customers, rotas can be planned to involve fewer staff members and reduce unnecessary expenditures.
Personalised marketing campaigns Effective customer segmentation can helps companies tailor marketing strategies and analyse effectiveness of targeted market campaigns. Say, for example, a retail store has noticed fewer people aged 25-35 visit their store they could implement a campaign to encourage more of this demographic. And use consumer analytics as a continuous measure of how the activity is performing. DDI can be utilised to tailor messaging or adverts on display at a certain time to provide a more relevant in-store experience
Results
Product performance analysis When integrated with POS systems, information on product performance and a breakdown of sales can help retailers see best performing products in specific locations, most valuable customers types and much more. Â Product performance information is essential for developing effective sales strategies.
Enhanced customer experience Better staff scheduling helps ensure quality customer service and reduced waiting times to enhance the customer experience. Using customer insights in the right way can help retain customer loyalty, attract different cohorts and provide a more personalised, targeted service overall.
ITL's DDI Solutions
Using AI-powered biometric technology is an emerging way that retailers can produce this invaluable, quantitative demographic data.
Our solutions use unique machine learning algorithms, which are trained on extensive datasets of facial images. When a face is presented, algorithms can identity different demographics such as agender and age. Â All this is performed without uniquely identifying the individual.
We have a range of all-in-one hardware devices which anonymously capture this quantitative consumer data including MyCheckr, MyCheckr Miniand ICU Lite. Using AI and machine learning our technology brings all the benefits of DDI  without violating an individual’s privacy as no private data is collected. Being armed with this insightful, time-stamped, shopper activity gives retailer a wealth of anonymous data to provide an enhanced shopping experience.
API Integration Our solutions can also be easily integrated in machines like POS systems using a simple API communication linking product purchases to different cohorts. Integration can significantly expand the amount of consumer data available including insights on customer spending, product performance, sales breakdown, restricted item sales and much more.  Using our facial recognition technology it can even act as a tool for a seamless loyalty card scheme without the customer needing an app or a card by just using their face. Ideal for businesses who do not  have a loyalty card scheme or those wanting to replace their existing system.
More than just DDI Our solutions also perform accurate age checks, ideal for retailers selling age-restricted goods. All activity is logged and date stamped, providing evidence for age check compliance.
Interested? Please contact our sales team to find out more.