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AI-powered sales platform

Our team develop a custom sales platform powered by AI and advanced technologies to help teams manage all customer information, save all data in one place, and benefit from automation to the fullest.

TEAM

16 Members

STARTED IN

2023

FINISHED IN

9 months

Industry

AI

AI Development
AI Platform
Custom Business Applications
Enterprise Apps
UX/UI design
Web applications
AI-Sales-Platform-Intro

OVERVIEW

About
the business

The story of this project started when a client from the US-based tech company with 80+ members came to us.

The client already had several successful and profitable sales and business automation solutions. So in 2023 he decided to build one more software powered by AI.

His idea was to create a smart platform to automate and interconnect various sales solutions. And we helped him to gather all requirements and build MVP of this AI-powered solution.

Our goal was to release an MVP, help our client with its support, and then transform that MVP into a fully-fledged product.

OVERVIEW

Project tasks

  • Complete a holistic discovery to prepare functional and non-functional requirements, prioritize features, and create product roadmap. 
  • Design and build an MVP of a sales platform with a basic but solid AI-powered feature set and perform its quick market launch.
  • Provide support and maintenance and keep improving MVP. The end goal is to scale it and expand its functionality according to clients' feedback

OVERVIEW

Project team

• Project Manager
• Business Analyst
• 2 UX/UI designers
• 4 Front-end developers

• 3 Back-end developers
• Software Architect
• 3 QA engineers
• DevOps specialist

1

month for
Discovery & Design

8

months for
MVP development and launch

OVERVIEW

Tech Stack

Get a quote
or free consultation

TypeScript

TypeScript

React.js

React.js

Redux

Redux

Next.js

Next.js

Node.js

Node.js

AWS

AWS

K8S

K8S

PostgresQL

PostgresQL

MongoDB

MongoDB

REST

REST

Swagger

Swagger

Socket.io

Socket.io

GraphQL

GraphQL

Microservices

Microservices

Rabbit MQ

Rabbit MQ

AI-Sales-Platform-Dashboard

Dashboard

OVERVIEW

Application
features

We added a set of advanced features to help platform users store all data and knowledge in one place, and manage it effortlessly.

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CRM

Track and manage all customers information

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AI helpdesk

Automate responses to customers requests

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Workflow builder

Customize workflow 
and manage tasks online

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Automation

Automated creation of documents and reports

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AI knowledge base

Organize business knowledge and Q&A

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Advanced analytics

Access and track all critical metrics

APP FUNCTIONS

AI-powered helpdesk

We developed an AI-powered helpdesk to empower platform users to filter, organize, manage and respond to customers queries faster and with less effort.

AI assists users with support tickets resolution by providing response suggestions. It can also improve written responses by making them longer or shorter, summarizing the issue, adding necessary action items.

To make helpdesk even smarter and put customer support to a whole new level we also added a set of complimentary options:

live notifications
custom communication
messages scheduling
smart search

AI-Sales-Platform-helpdesk

AI-powered Helpdesk

APP FUNCTIONS

AI knowledge base

Our goal was to create a convenient solution to store all company data and knowledge and enhance it with AI to recognize questions and find them in the base, generate personalized answers, and gather customer feedback.

AI helped us to turn knowledge base into a dynamic storage of company data where it’s easy to:

search and find all necessary Q&As
update the data in a couple of clicks
organize all data and gather insights
use the data to generate instant responses to queries

AI-Sales-Platform-knowledge-base

AI Knowledge base

PROJECT JOURNEY

Development
approach

To build this AI-powered sales platform and make it easy to use and maintain, we’ve used a set of proven technologies. They helped us ensure that the platform is stable and has high performance. Here is what we used:

  • TypeScript for both front-end (React) and back-end (Node.js) parts to make source code stable and decrease future maintenance costs.
  • React to speed-up front-end development and code maintenance.
  • Amazon AWS was selected as the primary cloud service provider as the most cost-efficient and scalable solution.
  • Amazon Aurora DB was used as a main database for high performance, availability and scalability.
  • Swagger was used for API documentation and testing.
  • We’ve also created a robust REST API as the main communication gateway between product parts.

UI decisions that make sense

3 images

RESULTS

OUTCOME

Our team accomplished a great deal in just 9 months. We performed a thorough product discovery process, finalized the requirements, and built an MVP of the web platform to test our client's idea.

The MVP was successfully launched and tested by users, who provided additional feedback for further improvements and platform scaling. At the same time, we developed a hybrid mobile app that utilizes the benefits of the React tech stack to speed up the development process.

The product has gained traction among its users and already generated solid cash flow. Currently, we are working with our client to scale this MVP and add new advanced features.

3,5K

active MVP users and the number keeps growing

3X

increased headcount in
the client company

2X

faster and better customer service and queries management

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