Use case.

Sales assistant.

Utilize our AI-powered sales assistant to rapidly access real-time data on products, packages, and sales strategies. Gain insights in moments rather than hours, enhance accuracy, and expedite deal closures. Empower your sales team to meet customer demands with unparalleled efficiency.

Supercharged sales

Your benefits.

See what's in it for you.

Boosts conversions with personalized interactions.

Enhances cross-selling and up-selling.

Centralizes sales resources for better collaboration.

What you previously had to do.

  • Manually gather product data and sales trends, wasting hours on reports and analysis.

  • Struggle to identify sales opportunities, relying on complex spreadsheets and possibly missing vital leads.

  • Spend excess time on repetitive tasks, hindering efficiency in sales targeting.

What this task now looks like.

  • Instantly access real-time product data and sales insights through an integrated platform.

  • Utilize algorithms to automatically identify sales patterns and actionable strategies.

  • Leverage machine learning to provide precise sales forecasts and recommendations, boosting efficiency.

You can choose from various LLMs.

For this use case, we recommend Azure GPT-3.5.

Utilize our AI-powered sales assistant to rapidly access real-time data on products, packages, and sales strategies. Gain insights in moments rather than hours, enhance accuracy, and expedite deal closures. Empower your sales team to meet customer demands with unparalleled efficiency.

Train from different data sources.

Data examples.

You can train your Generative AI assistant from different data sources. Here are some examples.

This might also be relevant for you.

Further resources

We have collected a list of resources that might be helpful for you to learn more about this use case.

AI assistants
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AI assistants

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The blueprint for your use case.

We've been in the space of Natural Language Processing for many years before ChatGPT and pioneered open-source, data-centric AI. Solutions built on our platform follow IT, LLM and security best practices.

Enterprise LLM Service catalogue (ChatGPT-like assistants, LLM-enhanced workflows, …)
LLM Use Case, configurable via low-code designer
No-Code UI
API Endpoint
Secure Gateway, IT Best-Practices
Permissions, PII-Redaction
Cost Controls
Orchestration
Intent-Aware Routing
Functions
Retrieval Augmented Generation
Feedback and Confidence Scoring
Data
Mindmap-like structure
Search indices
Versioning
Automated data quality checks
LLM
Agnostic setups
Finetuning
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