Subway Implementing a Self Scan

Subway Implementing a Self Scan

Let's go!

By Lucy Ireland and Sarah Tobia

• Subway is a sandwich shop, you can even create your own sandwich.

• They sell different types of bread, you can choose between a 6 inch and a footlong.

• The company aim to provide health food options.

• People that want to buy a sandwich made freshly made quickly.

What is Subway

• Specific- To make it more quick

• Measurable- How quickly Subway can make the sandwich.

• Achievable- Subway would be able to analyse how the time period is between making the sandwich and then serving it to the customer.

• Relevant- Introducing a self scan in order for the workers to focus more on sandwiches

• Time Based- Quick turn around for customers

Smart goals related to this

• AI will be used in order to analyse purchasing patterns in order to reccomend popular sandwich choices. The AI that is used is machine learning and deep learning.

• Social media will be used in order to promote that they have self scans.

What technologies and platforms will be used

• Subways competitors are Greggs and Baynes.

• Greggs and Baynes do not have a self scan.

• When Subway introduce a self-scan they will gain competitive advantage over them.

Competitive advantage

• Some people prefer face-to-face interactions instead of a machine.

• It takes away the face-to-face interactions.

• Technical issues might arise

• Subway being too reliant on technology

Challenges and Risks

• In the UK, 66% of people prefer self scans which is beneficial to Subway.

• Increased revenue as people will actually have a good look at the menu because Subway is a quick service so you do not have time to look at the menu.

• They will stand out from their competitors.

Expected Outcomes