DoorDash identifies Five extensive areas for using Generative AI.
Generative AI is a subset of Artificial Intelligence that can create novel content based on existing data. It has been making waves in various fields, such as language processing, image and video generation, and content creation.
But how can Generative AI be applied to food delivery? And what are the benefits and challenges of using this technology?
To answer these questions, I read an article by Alok Gupta, a Data Scientist at DoorDash, one of the US and Canada’s leading food delivery platforms. The article was published on DoorDash Engineering Blog and explained how DoorDash is identifying five extensive areas for using Generative AI to enhance the customer’s ordering experience on the platform.
The assistance of customers in completing tasks
One of the ways that DoorDash can use Generative AI is to assist customers by automating tasks such as cart building, getting order status updates, retrieving account information, finding recipe information, and order checkout.
For example, with Generative AI, DoorDash can provide pre-built cart templates that cater to different family sizes and dietary preferences. These templates can save time for customers and simplify the ordering process.
Another example is using Generative AI to power voice assistants that can enable customers to place orders seamlessly using natural language queries and personalized recommendations based on their past orders and preferences.
It can make ordering food more convenient and enjoyable for customers. It can also reduce errors and increase customer satisfaction.
Better tailored and interactive discovery
Another way that DoorDash can use Generative AI is to improve its suggestions and recommendations for customers. By leveraging Generative AI in voice, chat, and search interfaces, DoorDash can propose items for the customer’s household and better use knowledge graph relationships between customers and merchants.
For instance, with Generative AI, DoorDash can analyze the customer’s location, preferences, order history, and other factors to recommend the best restaurants and dishes. It can also use natural language generation to provide more engaging and informative descriptions of the items.
This clever idea can help customers discover new and relevant meal options. It can also increase customer loyalty and retention by providing more personalized and interactive experiences.
Generation of personalized content and merchandising
A third way DoorDash can use Generative AI is to generate personalized content and merchandising for customers. By using Generative AI in image and video generation, DoorDash can create customized visuals that showcase the items and offers that are most appealing to each customer.
For example, with Generative AI, DoorDash can generate images of dishes that match the customer’s taste preferences, dietary restrictions, or mood. It can also create videos of chefs preparing the dishes or customers enjoying them.
This fabulous idea can make ordering food more fun and enticing for customers. It can increase customer engagement and conversion by providing more realistic and appealing visuals.
Extraction of structured information
A fourth way DoorDash can use Generative AI is to extract structured information from unstructured data sources. Using Generative AI in natural language understanding, DoorDash can remove critical information from text sources such as menus, reviews, or social media posts.
For example, with Generative AI, DoorDash can extract information such as ingredients, allergens, calories, ratings, sentiments, or keywords from menus or reviews. It can then use this information to enrich its database and provide customers with more accurate and helpful information.
It can help customers make better-informed decisions about their food choices. It can also improve DoorDash’s data quality and consistency by extracting relevant information from various sources.
Enhancement of employee productivity
DoorDash can use Generative AI to enhance its employee productivity. Using Generative AI in content creation, DoorDash can automate tasks such as writing captions, headlines, summaries, or reports for internal or external purposes.
For example, with Generative AI, DoorDash can generate captions for images or videos that describe the items or offers engagingly. It can also create headlines or summaries for blog posts or newsletters that highlight the main points or benefits of the content.
It can save time and resources for employees by automating repetitive or tedious tasks. It can also improve DoorDash’s communication and marketing by generating high-quality and consistent content.
In conclusion, DoorDash has identified some exciting and promising areas for using Generative AI to revolutionize food delivery. Generative AI has much potential to improve the customer’s ordering experience by providing more convenience, choice, personalization, information, and engagement.
The article is “DoorDash Identifies Five big areas for Using Generative AI.“