Gearing up for the upcoming Super Bowl Sunday, the busiest day of the year for pizza deliveries, Domino’s Pizza has updated its Facebook Messenger chatbot to add more ordering options. The Dom pizza bot was launched in August last year and only supported reordering the default order saved on a Domino’s customer account. Now with this update, Messenger users can chat with the bot to put together a customized order from a full menu without a Domino’s account. One caveat remains, however, that all orders made from the bot will have to be paid with cash, as Domino’s opted not to integrate the bot with Messenger’s existing payment system.
What Brands Need To Do
Domino’s latest move in improving its chatbot reaffirms its commitment to developing chat-based ordering tools to better serve mobile customers. The pizza chain also launched an Alexa skill last year to allow customer to place order via voice. It also shows how brands may consider a tiered release strategy when it comes to creating branded chatbots. After all, no bots are totally perfect at launch, and it is crucial that brands continue to put resources and efforts into maintaining and improving the bot based on customer feedback long after the initial launch.
How We Can Help
The Lab has extensive experience in building branded chatbots to reach consumers on messaging apps. So much so that we’ve built a dedicated conversational practice called Dialogue. The NiroBot we built in collaboration with Ansible for Kia is a good example of how Dialogue can help brands build a chatbot experience supercharged by our stack of technology partners with best-in-class solutions and an insights engine that extracts business intelligence from conversational data.
If you’d like to learn more about how to effectively reach consumers on messaging apps and other conversational interfaces, or to leverage the Lab’s expertise to take on related clients and learning opportunities within the IPG Mediabrands, please contact our Client Services Director Samantha Holland (firstname.lastname@example.org) to schedule a visit to the Lab.