Get more out of each sales and customer call by automating access to relevant Data.
The App is an AI-powered sales solution that enhances sales team efficiency by automating data retrieval, providing real-time sales support.
Delivers real-time intelligence on Sales call
This tool allows the sales teams to retrieve technical and factual data efficiently and present it in an easily understandable format using language models (LLM). To allow the sale teams to fetch relevant data instantly is crucial for support the sales.
the App
- Web Application:
- A web-based application that houses the natural language query system
- There is no paywall or login.
Key Features
- Natural language Query System:
- Allow sales team members to retrieve technical data through natural language queries
- Use LLMs to interpret and process various questy formats to match user needs.
- Data Retrieval:
- Fetch relevant technical data from various databases and sources
- Ensure data is accurate and up-to-date.
- Data Presentation:
- Present The retrieved data in a clear and Understandable format
- Provides option for exporting the data as needed.
Tech Requirements And Tech Stack
- User Interface: It has a user-friendly interface for the sales team to interact with the tool.
- LLM Integration: Employs large language models to interpret and process natural language queries
- Database Integration: Connects to various data sources to Retrieve technical information.
How you can get this App?
We offer a fast installation of the pre-built app with a model connected and pre-trained on your preferable data source. We can quickly install the app “as-is” for your internal use or will publish on the web under your brand. The cost of this standard Sales Automation AI App installation is fixed and its takes from 3 to 4 weeks to launch. The fixed price with a text UI is $4,000 or $6,000 with an additional voice chatbot (input UI). :
- A webpage interface (Text Input-output)
- A model pre-trained on your Data (2 Data sources: your DB + one)
- Cloud back-end
- Architecture and Code.
Buy the app or book a 10-minute free call where we can make a quick Assessment of your Project and answer any questions you might have >
Key Features
Natural Query Interface
- Allows sales team to retrieve technical data through natural language queries
- Uses LLMs to interpret and process various formats to match user needs
- Instant Sales Guidance & data
- Show your sales reps what to say in real-time, immediately pulled from your Data and best practices
- Ask questions using natural language and receive answers through a simple, intuitive interfaces. No need for complex dashboards.
Data Retrieval: All Your Data for the Full Picture
- Fetch relevant technical data from various databases and sources
- The app connects data sources, so the sales team can have a max support for both rapid iteration with clients and decision-making.
Data Presentation: Data Points Visual Connections
- Present The retrieved data in Understandable formats
- Provides output options for exporting the data as needed, including via a chatbot UI.
- The tool supports graph data: it can visualize retrieved data as a collection of nodes and relationships.
- (option) connects databases via a graph Layer, so the sales team can see relations between data points for rapid insights.
Fast Setup
The pre-built app comes cloud-ready with quick provisioning, streamlined setup for data ingest and data sources connections and an easy model fine-tuning setup. Once ready, even non-technical users can be running the app within minutes with minimal training.
Get Started Increasing Your Sales
Contact our team today for a free call and let us help you increase the sales.
Sales Automation Use Cases
To allow the sale teams to fetch relevant data instantly is crucial for supporting sales in many use cases, including support for:
- High-ticket E-commerce
- stocks and commodities Brokers
- Healthcare and telemedicine
- Private equity IR.
Personalized Bioscience
By connecting the dots in diverse data sources, the tool can capture relationships between the test results, diseases, and treatments, that will lead to better diagnostics and better outcomes for a patient.
Support for PE IR Info Requests
Within seconds, the app provides answers, shares portfolio data, insights and the reasoning behind the answers, guiding the investors toward the most impactful decisions.
Commodities sales Brokers
The app can assess data and context of customer’s questions. It interprets data and provides the answers tailored to the context, as well as insights a broker can dig into, and share with the customers.
High-Ticket Sales
High ticket sales require clear, compelling communication that educates prospects on the value of your offer and persuades them to take action. By having instant helpful data on call, you build credibility that helps closing a sale.
Problem Statement
In many industries sales teams need quick access to technical data, but retrieving this information manually can be time-consuming and prone to errors. The challenge is to enable the sales team to access all technical data efficiently. We’ve developed the app to address this. This innovative app tool simplifies by enabling sales teams to interact with complex data (systems) fast and efficiently by using natural interfaces, either by text or voice.
30B
The USA BI Software Market
The business intelligence (BI) software market is projected to surge to USD 30 billion by 2026, yet less than 30% of employees use these tools with only around 5% for sales support. The primary hurdle in adopting BI tools is their complexity.
<30% Usage
Fighting Complexity
The business intelligence (BI) software market is projected to surge to USD 30 billion by 2026, yet only less that 30% of employees use these tools with only around 5% for sales support. The primary hurdle in adopting BI tools is their complexity.
10% +
Results That Exceed Expectations
In 2020, a study by the HBR titled “Equipping Frontline Workers for Success.” stated that among the companies that reported giving any frontline employees the tool, over three quarters saw a sharp increase over 10% in revenue growth.