How Much Does It Cost to Develop a Chatbot Application?
What goes behind developing a chatbot application, and how much are you actually going to pay a company to build one for you?
Join the DZone community and get the full member experience.Join For Free
Are searching for a chatbot development company but don't know what price you should be paying? Here is a cost analysis and breakdown based on the stages involved in chatbot development.
Chatbot developers need to follow six significant steps before they can have a bot that will solve the challenges of business. In the process of estimating the chatbot development cost, we assume $40 per hour as the standard cost of a developer.
Step 1: Backend Development
A backend system is required to collect, handle, and process the conversations of users taking place across different channels, whether it be voice, texts, etc. All the processes are controlled intelligently with ready-to-use NLP services like Wit.ai, Api.ai, or LUIS. Managing NLP services demands a thorough understanding of .NET and Node.js server-side SDKs.
|Server setup and deployment||AWS, Node.js, Microsoft Bot Framework||4||$160.00|
Step 2: NLP Integration
|Facebook channel integration and setup||Microsoft Bot Framework||4||$160.00|
|Channel-specific UI configuration||Facebook Messenger||4||$160.00|
Step 3: Natural Language Understanding
The messages received from specific channels must be decoded. To understand the intents and entities of user messages, you need natural language processing services. Most NLP services, including Wit.ai, Api.ai, and LUIS, support both .NET and Node.js SDKs. The process is pretty straightforward and involves setting up an NLP service and processing messages using an SDK for the service. The real challenge lies in training the NLP intents and entities to understand user context.
|Setup of NLP service with basic expressions||Wit.api, Api.ai, LUIS||8||$320.00|
|Training of NLP service on top of existing data||Wit.api, Api.ai, LUIS||40||$1,600.00|
|Data extraction and validation from NLP entities||.NET, Node.js||40||$1,600.00|
Step 4: Conversational Intelligence
Conversational intelligence is an essential milestone in the chatbot development process, and few chatbot development companies have genuinely aced the art. A chatbot developer needs to create an algorithm for each conversation, such as pure decision trees, state workflows, slot-based algorithms, or some advanced deep learning algorithms. The algorithm controls the conversation and makes the bot engage users.
|Decision tree algorithm to handle conversations based on NLP entities||.NET, Node.js||160||$6,400.00|
|Integration with existing services (middleware)||.NET, Node.js||40||$1,600.00|
Step 5: Integrations
A built chatbot must be integrated with the related business processes, like sales and marketing, inventory, customer service, and so on. The integration is based on business logic validation and rules. Here comes the significance of a backend with a good service layer. The latter makes the integration process simpler, faster, and more efficient.
|Middleware API (business logic, validations, operations, etc.)||.NET, Node.js||200||$8,000.00|
Step 6: Control Panel
Though optional, it's vital. Unless you measure the outcomes of a technology investment, you can't get understand whether it's serving the purpose well. Ask chatbot developers to create a control panel roping in some analytics tool so that you can see the number of engagements, conversation history, and obstacles. The metrics will help you understand the performance of your talking bot.
|Storage||SQL Server, MongoDB, Redis||40||$1,600.00|
|Conversation history persistence and UI||.NET, Node.js, Angular 2||20||$800.00|
|Error login and uptime monitoring setup||Elastic Stack||8||$300.00|
Bottom Line: Total Cost of a Chatbot
Summing up all the individual costs brings the cost of chatbot development to $23,360. This includes all of the fundamental steps of the design and development.
Published at DZone with permission of Saroj Kumar, DZone MVB. See the original article here.
Opinions expressed by DZone contributors are their own.