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AI Chatbot for Local Coffee Chain

Project description

The main solution idea is to create closer relationships between coffee lovers and cafe chain representatives. Since the chatbot was launched, clients have simple access to special offers and discounts. Before, this customer can log in with a phone number. When the customer is looking for the nearest cafe, chatbot will propose a few points that are nearby to the client showing Viber maps and moving to Google maps. Also, chatbot presents scored points and helps to understand what value from it customers is having now. If a customer is satisfied or has the offer to improve services, there is a possibility to leave feedback.

The new approach for building chatbot features impressive customization and easy-to-use interface. So, Chatbots.Studio became a provider who helps increase cross sales and improves engagement with the existing customer.

Duration: 2 months.

Development team

Developers, Project Manager QA Engineer.

What we built
2CupsBot
The solution includes

Viber Messenger

The services and Frameworks we used

We selected a set of tools matching our project requirements and client needs.

Viber REST API  + library messaging-api-viber, i18n were used for localization.

Winston and AWS cloudwatch  are monitoring and management services built for developers. In our case, we built logs using the aforementioned tools.

.env lets you customize your individual working environment variables and were used for storage of variables.

Eslint is pluggable and configurable linter tool for identifying and reporting on patterns in JavaScript. In our case, it was used for code formatting.

Aws EC2 is a web service that provides secure, resizable compute capacity in the cloud.

AWS CodeBuilt is a fully managed continuous integration service that compiles source code, runs tests, and produces software packages that are ready to deploy.

AWS CodeDeploy is a fully managed deployment service that automates software deployments to a variety of compute services such as Amazon EC2, AWS Fargate, AWS Lambda, and your on-premises servers.

Node.js + Express.js were used to build backend API for the bot that works in сhat.     

Amazon DynamoDB is a key-value and document database that delivers single-digit millisecond performance at any scale.

Development process

We know that a client wants to know how his/her product is developing, that’s why we gave sympathetic consideration and described in details each step of the development.

First development team chose tech stack. After this developers constructed architecture and development road. We made a huge roadmap and helped with the project all along with architecture decisions. Then created a basic authorization for users and implemented API methods that provide 2Cups. Development team built our own webhooks for the client needs.

The next step was full testing of the product and bug fixing. After that, we started the second version. Run it for all cafes in Ukraine.

The last step was to correct the auto-deploy system for the future upgrades of the product.

Bot architecture
The result

Chatbots.Studio team created chatbot for the cafe chain to optimize engagement with customers. The company has a 34% cross sales increasing after implementation discount and offers system into Viber via chatbot. Obviously, that new sales channel brought more revenue to the client and helps to build trusting relationships for B2C business.

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Chatbots in 2019: Enterprise Trends and Typical Scenarios!

One of the leading chatbot trends in 2019, is the implementation of virtual assistants for internal usage by enterprises. We envision this trend being ever more powerful during this year and the next. Let’s have a look at some typical cases and scenarios where virtual assistants could be useful for internal purposes.

The first and most commonly known cases are the automation of various employee self-service functions:

  • ordering / approving vacations
  • requesting access rights
  • getting the payment bill details
  • reporting business trip expenses
  • requesting business cards and etc.

 

The key value driver is saving employee time away from non-productive operations. That value could be even more increased in the case of employees out of the corporate network joining by a chatbot. We have seen examples when metallurgical holding, where 70% of employees do not have access to an Active Directory (mainly workers on the production floor) gained access to employee self-service via a chatbot. This leads to enormous (about 20% ) cost reduction as an HR support function, so employees started to address their questions via a centralized chatbot solution.

Chatbots are much loved by those corporate IT toiling away with the code. IT guys want to automate the resolution of IT requests and instead of registering tickets and directing them to the right  second line support teams are applying bots to handle standard requests and provide helpful self-service.

This new and powerful trend is the usage of a chatbot as corporate media. Imagine a company with ten thousand employees, where not all of them are using the PC in the workplace – how will you deliver the corporate news? Intranet portal, paper, maybe old school newspaper? A Bot in the telegram or Viber or Facebook could be a viable solution. The internal communication department could gain a powerful tool to deliver their messages quickly and at near zero cost.

Chatbots are also getting as popular as corporate virtual assistants, which provide access to relevant information inside the company, helping to manage the knowledge, find answers and experts in the large corporate space.

The examples above are focused on serving the internal needs of an organization, while we at Chatbots.Studio believes that most of the value of enterprise chatbots is created by serving the customers.

Chatbots are regularly used by our customers to get orders, be notified about new requests and the need to visit with a client, complete checklists and surveys after the customer visit and so much more. Almost everything automated by internal mobile apps could be handled via in-messenger assistants at a significantly lower cost, with the same tangible business benefits, such as improved employee efficiency (orders are taken per employee), reduced stocks, faster order processing, and higher NPS scores.

 

If you want to build the chatbot for your business, feel free to contact us and get the valuable offer.

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