10th Oct 2023

Transactional bot: Handle a variety of vendors, while managing new projects

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A transactional bot, also known as a task-oriented chatbot or a declarative chatbot, is a chatbot with a single function that is concentrated on carrying out or automating one operation or function. Depending on what a user wants to achieve or what issue they want to solve, it's intended to offer a defined range of options for them to pick from. Once the user has decided, the chatbot helps them through the process by presenting them with additional alternatives up until the user's query is resolved, their problem is fixed, or they are transferred to a human agent.

How a transactional chatbot functions

1. User Interaction

Through a messaging service, a website, or a mobile app, a user starts a conversation with the chatbot. The user may start this interaction by posing a query or asking for help with a particular job.

2. Natural Language Processing (NLP)

Natural language processing (NLP) methods are used by the chatbot to comprehend human input. NLP enables the bot to examine and decipher human text or speech to gather pertinent information.

3. Intent Recognition

The user's purpose, or the exact action or task the user wants to accomplish, is identified by the chatbot. The user can say that they want to order something, check their account balance, or make an appointment.

4. Context Management

The chatbot keeps track of the user's requests and responses by maintaining the discussion context. By understanding the conversation's context, the chatbot can deliver pertinent information or take appropriate action.

5.Transaction Execution

The chatbot performs the transaction or task on behalf of the user after gathering and validating all essential data. This might entail placing an order, booking a space, giving information, or changing data in a database.

What use cases exist for transactional chatbots

Transactional chatbots can be used in several different businesses, including e-commerce, banking, insurance, and travel.

Product Recommendations

Users can receive product recommendations from chatbots based on their interests, browsing history, and purchasing patterns.

Shopping Assistance

Users can ask chatbots for help finding certain products, evaluating features, and choosing which ones to buy.

Order Placement

Users can utilize chatbots to place orders, add products to their shopping carts, and complete the checkout procedure.

Banking and Finance
Account Information

Chatbots can give users access to their account balances in real-time, as well as their transaction history and activity alerts.

Fund Transfers

Users can set up recurring payments, manage bill payments, and initiate financial transfers across accounts.

Financial Advice

Depending on the user's objectives and risk tolerance, chatbots can make investment recommendations, budgeting tips, and other financial recommendations.


In the insurance sector, a transactional chatbot can be used to let consumers download documents like certificates and forms. Some transactional chatbots can even turn potential customers into leads. For instance, if the insurance quote presented by the transactional chatbot fits the prospect's needs and budget, they may complete all the required paperwork on the platform itself.

The advantages of a transactional bot for project and vendor management


Reduce manual labour and save time by streamlining the project management and vendor selection processes.

Cost Savings

By keeping an eye on project costs and vendor performance, cost control can be improved.


Make sure that all projects adhere to the same procurement and project management procedures.


Manage several projects and providers at once to help your company scale more successfully.


A powerful tool for streamlining and improving project management and procurement procedures is a transactional chatbot built to manage new projects and a range of providers. By automating vendor onboarding, project creation, communication, and reporting, this type of chatbot can significantly reduce manual effort and human errors, freeing teams to concentrate on higher-value tasks. Such a bot combines automation, communication, and data management capabilities to drive efficiency, cost savings, and improved collaboration in various industries and business contexts. Additionally, it encourages uniformity and compliance, making sure that best practices are applied to all initiatives.

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