Our Digital Solutions
Agentic AI incorporated e-commerce platform
Augmented Reality (AR) try-on in-app feature
Digital Twin Store experience
Queue and checkout modernisation
For more info
For more info
For more info
For more info
Digital Solution 1
AI acts like agent that assists, recommends, personalises, and predicts during purchases.
The first human-generated digital solution is an agentic AI incorporated e-commerce platform that is aware of consumer preferences, style, and budget, allowing personalised product recommendations. Using consumer data, it can also anticipate consumer needs, compare products, and carry out automated transactions (Evans, 2026).
Autonomous system - instead of having to order each individual task, a general goal/objective is given to the AI (Mahajan, 2026).
Benefits
Drawbacks
Digital Solution 2
Personalised digital profile using photos and measurements that the customer inputs
AR try-on technology for digital visualisation of Primark's items
The Augmented Reality (AR) try-on feature allows users to create a personalised digital profile using customer-taken photos and body measurements to visualise Primark's products on their digital image to reduce cart abandonment and improve fit confidence.
Data tracking from previous purchases and online browsing patterns
AI suggested sizing and fit recommendations from previous behaviours in the app
Benefits
Drawbacks
Digital Solution 3
Autonomous system - instead of having to order each individual task, a general goal/objective is given to the AI (Mahajan, 2026).
- Real-time queue intelligence - Dynamic staffing - Optimised lane mix by basket type - Mobile POS
Click to see Feature cards
Title
The first AI generated solution that was provided by ChatGPT-5.2 was the Digital Twin Store Experience application.
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AI-generated
Subtitle
Benefits
A solution that would effectively replicate an individual store’s layout using indoor mapping, and real-time inventory enabling customers to locate products, confirm availability and generate a time optimised in-store experience. (OpenAI, 2026)
Drawbacks
Autonomous system - instead of having to order each individual task, a general goal/objective is given to the AI (Mahajan, 2026).
AI suggested sizing and fit recommendations from previous behaviours in the app
Personalised digital profile using photos and measurements that the customer inputs
AI acts like agent that assists, recommends, personalises, and predicts during purchases.
Click to see Feature cards
Data tracking from previous purchases and online browsing patterns
AR try-on technology for digital visualisation of Primark's items
Title
Use this side to give more information about a topic.
Use this side to give more information about a topic.
Use this side to give more information about a topic.
Use this side to give more information about a topic.
Use this side to give more information about a topic.
Use this side to give more information about a topic.
Use this side to give more information about a topic.
Use this side to give more information about a topic.
human-generated
Subtitle
Identified Drawbacks
However, there are also potential drawbacks, such data privacy and ethical concerns, and high costs in implementing this technology (Salesforce, 2026).
Key Benefits and Data
The agentic AI goes beyond prediction and creation. It initiates actions and works toward defined goals without needing constant direction (unlike traditional or generative AI) (Salesforce, 2026). Data indicates that sales fell by 4% to £2.1bn in the UK and Ireland due to low consumer confidence and weak e-commerce (Virdi, 2025). The majority of people are open to such technology - 58% of Gen Z and millennials stated that they would use an AI agent for price comparison and product recommendations (Balasubramanian, 2025).
Identified Drawbacks
However, there are also potential drawbacks, such data privacy and ethical concerns, and high costs in implementing this technology (Salesforce, 2026).
Identified Drawbacks
However, there are also potential drawbacks, such data privacy and ethical concerns, and high costs in implementing this technology (Salesforce, 2026).
Identified Drawbacks
This attacks Primark’s current strategic business challenges of limited consumer data capture due to their limited e-commerce presence. (Mustoe, 2020) This improvement in customer experience is evidenced in Albert Hejin’s case study in which the app helped convert 44% of shoppers who leave the store without purchase or with limited purchase and the 84% of customers who gave the application a ‘thumbs up’. (Signify, n.d)
Identified Drawbacks
With AR, one drawback is the high implementation cost of 3d modeling items, which can be time-consuming and costly for Primark, along with constant maintenance costs of the interface (Sharma et al, 2025,p.42).
Key Benefits and Data
The purpose of this application would be to track user’s locations in the store gathering data touchpoints to therefore determine browsing behaviour, allowing Primark to increase buyer engagement through smoother customer experiences (Unity, 2025). In the future, through these data catchpoints, Primark would also be able to tailor in-store experiences towards customer preferences and in turn this would also contribute to an increased brand loyalty through added convenience. (Mapsted, 2025)
Key Benefits and Data
The agentic AI goes beyond prediction and creation. It initiates actions and works toward defined goals without needing constant direction (unlike traditional or generative AI) (Salesforce, 2026). Data indicates that sales fell by 4% to £2.1bn in the UK and Ireland due to low consumer confidence and weak e-commerce (Virdi, 2025). The majority of people are open to such technology - 58% of Gen Z and millennials stated that they would use an AI agent for price comparison and product recommendations (Balasubramanian, 2025).
Key Benefits and Data
Primark faces a weak digital presence while the industry as a whole has a high uncertainty issue (Borràs, 2020; Li et al, 2020). This feature has shown a 28% increase in sales for companies with this feature in the fashion industry (Johnson, 2025) and a 60% increase in foot traffic (Matten, 2025).Empirical evidence shows that brands using AR try-on reduce return rates by up to 40% (WarpDriven, 2025), with 98% of users finding the experience easier or more enjoyable (Matten, 2025).
Our Digital Solutions
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Transcript
Our Digital Solutions
Agentic AI incorporated e-commerce platform
Augmented Reality (AR) try-on in-app feature
Digital Twin Store experience
Queue and checkout modernisation
For more info
For more info
For more info
For more info
Digital Solution 1
AI acts like agent that assists, recommends, personalises, and predicts during purchases.
The first human-generated digital solution is an agentic AI incorporated e-commerce platform that is aware of consumer preferences, style, and budget, allowing personalised product recommendations. Using consumer data, it can also anticipate consumer needs, compare products, and carry out automated transactions (Evans, 2026).
Autonomous system - instead of having to order each individual task, a general goal/objective is given to the AI (Mahajan, 2026).
Benefits
Drawbacks
Digital Solution 2
Personalised digital profile using photos and measurements that the customer inputs
AR try-on technology for digital visualisation of Primark's items
The Augmented Reality (AR) try-on feature allows users to create a personalised digital profile using customer-taken photos and body measurements to visualise Primark's products on their digital image to reduce cart abandonment and improve fit confidence.
Data tracking from previous purchases and online browsing patterns
AI suggested sizing and fit recommendations from previous behaviours in the app
Benefits
Drawbacks
Digital Solution 3
Autonomous system - instead of having to order each individual task, a general goal/objective is given to the AI (Mahajan, 2026).
- Real-time queue intelligence - Dynamic staffing - Optimised lane mix by basket type - Mobile POS
Click to see Feature cards
Title
The first AI generated solution that was provided by ChatGPT-5.2 was the Digital Twin Store Experience application.
Use this side to give more information about a topic.
Use this side to give more information about a topic.
Use this side to give more information about a topic.
Use this side to give more information about a topic.
AI-generated
Subtitle
Benefits
A solution that would effectively replicate an individual store’s layout using indoor mapping, and real-time inventory enabling customers to locate products, confirm availability and generate a time optimised in-store experience. (OpenAI, 2026)
Drawbacks
Autonomous system - instead of having to order each individual task, a general goal/objective is given to the AI (Mahajan, 2026).
AI suggested sizing and fit recommendations from previous behaviours in the app
Personalised digital profile using photos and measurements that the customer inputs
AI acts like agent that assists, recommends, personalises, and predicts during purchases.
Click to see Feature cards
Data tracking from previous purchases and online browsing patterns
AR try-on technology for digital visualisation of Primark's items
Title
Use this side to give more information about a topic.
Use this side to give more information about a topic.
Use this side to give more information about a topic.
Use this side to give more information about a topic.
Use this side to give more information about a topic.
Use this side to give more information about a topic.
Use this side to give more information about a topic.
Use this side to give more information about a topic.
human-generated
Subtitle
Identified Drawbacks
However, there are also potential drawbacks, such data privacy and ethical concerns, and high costs in implementing this technology (Salesforce, 2026).
Key Benefits and Data
The agentic AI goes beyond prediction and creation. It initiates actions and works toward defined goals without needing constant direction (unlike traditional or generative AI) (Salesforce, 2026). Data indicates that sales fell by 4% to £2.1bn in the UK and Ireland due to low consumer confidence and weak e-commerce (Virdi, 2025). The majority of people are open to such technology - 58% of Gen Z and millennials stated that they would use an AI agent for price comparison and product recommendations (Balasubramanian, 2025).
Identified Drawbacks
However, there are also potential drawbacks, such data privacy and ethical concerns, and high costs in implementing this technology (Salesforce, 2026).
Identified Drawbacks
However, there are also potential drawbacks, such data privacy and ethical concerns, and high costs in implementing this technology (Salesforce, 2026).
Identified Drawbacks
This attacks Primark’s current strategic business challenges of limited consumer data capture due to their limited e-commerce presence. (Mustoe, 2020) This improvement in customer experience is evidenced in Albert Hejin’s case study in which the app helped convert 44% of shoppers who leave the store without purchase or with limited purchase and the 84% of customers who gave the application a ‘thumbs up’. (Signify, n.d)
Identified Drawbacks
With AR, one drawback is the high implementation cost of 3d modeling items, which can be time-consuming and costly for Primark, along with constant maintenance costs of the interface (Sharma et al, 2025,p.42).
Key Benefits and Data
The purpose of this application would be to track user’s locations in the store gathering data touchpoints to therefore determine browsing behaviour, allowing Primark to increase buyer engagement through smoother customer experiences (Unity, 2025). In the future, through these data catchpoints, Primark would also be able to tailor in-store experiences towards customer preferences and in turn this would also contribute to an increased brand loyalty through added convenience. (Mapsted, 2025)
Key Benefits and Data
The agentic AI goes beyond prediction and creation. It initiates actions and works toward defined goals without needing constant direction (unlike traditional or generative AI) (Salesforce, 2026). Data indicates that sales fell by 4% to £2.1bn in the UK and Ireland due to low consumer confidence and weak e-commerce (Virdi, 2025). The majority of people are open to such technology - 58% of Gen Z and millennials stated that they would use an AI agent for price comparison and product recommendations (Balasubramanian, 2025).
Key Benefits and Data
Primark faces a weak digital presence while the industry as a whole has a high uncertainty issue (Borràs, 2020; Li et al, 2020). This feature has shown a 28% increase in sales for companies with this feature in the fashion industry (Johnson, 2025) and a 60% increase in foot traffic (Matten, 2025).Empirical evidence shows that brands using AR try-on reduce return rates by up to 40% (WarpDriven, 2025), with 98% of users finding the experience easier or more enjoyable (Matten, 2025).