Why dashboards don't answer today's question

1

Separate reports

Sales, stock, customers and agents are analyzed in separate dashboards.
2

The manager has to know the question

Classic BI answers defined KPIs well, but is less suited to ad-hoc investigation.
3

Context gets lost

A product can look like it's performing well until you correlate it with margin, stock and customer concentration.
Realistic preparation for AI projects in industrial environments

Designed for business questions over operational data

Managers shouldn't have to know which dashboard or table holds the answer before they can ask the question.

  • Connects indicators and data from ERP, CRM and other relevant sources
  • Interprets questions asked in natural language
  • Answers with values, tables or visualizations that fit the question
  • Allows drill-down into periods, customers, products, regions or other dimensions
  • Keeps KPI definitions and calculation rules under control
  • Separates data access by user, role and context

Key features

Natural language questions

Conversational queries over authorized data.

Tables and rankings

Structured, filterable results.

Charts

Visualizations generated from the context of the question.

Customer 360

History, categories, changes and opportunities.

Product 360

Sales, stock, margin, customers and positioning.

Sales Rep 360

Portfolio, performance and uncovered opportunities.
MODULE PREVIEW

Ask questions of the business, not just the dashboard

Managers need to keep investigating: "why did the category decline?", "which customers explain the difference?", "exclude new accounts", "show the result by agent". AI Sales brings multiple dimensions together in a shared analytical layer, with permissions and controlled access.
  • filters by period, customer, product, agent
  • tables and charts
  • Customer / Product / Sales Rep 360
  • explanation and risk signals
Conversational Conversational
THIS IS A MODULE OF AI SALES 2.0 PLATFORM

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Simplified architecture

From data to controlled action

Your ERP and CRM remain the source of truth for operational values. AI Sales adds interpretation, rules, prioritization and workflow on top of your existing systems.
ERP + CRM + stock
Authorized analytical layer
Question
Calculation / retrieval
Table + chart
Explanation / follow-up

Benefits delivered by the platform

1

The question no longer waits for the next dashboard

Managers can explore the data in natural language and keep going with follow-up questions.
2

The analysis combines multiple sources

Sales, customers, products, stock and agent activity can be seen together.
3

The result stays verifiable

The answer comes from queries over the company's data, not from the general memory of an LLM.
Comparison

Classic BI, chat over export, or conversational analytics

Conversational analytics doesn't replace dashboards. It complements them when the user needs a quick investigation and to connect multiple dimensions.
Capability Classic BI Chat over export AI Sales Conversational Analytics
Standard KPIs Very good Variable Yes
Ad-hoc questions New report Yes, with context risk Yes, over the authorized layer
Business 360 Separate dashboard Manual Integrated
Exact figures From the BI model Depends on the prompt From data / controlled calculations
A BONUS FOR YOU

Why AI Sales 2.0: the Growth Platform Built on the Award-Winning OPTI Architecture

AI Sales 2.0, available starting July 2026, is an extended platform in which the company's data about products, customers, orders, prices, and stock can be used by all its departments. The modules bring artificial intelligence into optimizing sales, purchasing, warehousing, and performance oversight by management
Whitepapers and guides
ADDED IN AI SALES 2.0

You can run AI agents over your data!

The agent can move from "what happened?" to "why?" and then to "what should we check or do?".
  • formulates and runs queries over authorized data;
  • combines information from ERP, CRM and the data warehouse;
  • investigates, step by step, the causes of a result or a deviation;
  • can create an alert, a task or a further analysis.
See AI agents for data
AI agent for call analysis

Other connected modules

Next Best Action & ERP Revenue Recommendations

Analytics surfaces the signals; NBA turns them into actions for the agent.
See the module

Inventory, Stock & Procurement Intelligence

Lets management explore stockouts, turnover and the forecast directly in the conversation.
See the module

Price Intelligence & Market Positioning

Adds competitive context to questions about price, margin and products.
See the module
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See the module in action

The AI Sales 2.0 platform includes nine modules. Book a 30-minute presentation.

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