Some sales stall halfway through.
AI connects conversations and documents, finds the obstacle and prepares the work needed to resume the opportunity.
ORSTUDIO IA / APPLIED INTELLIGENCE
Two ways to turn scattered information into decisions that matter. Choose an experience and discover what OrStudio can build.
AI connects conversations and documents, finds the obstacle and prepares the work needed to resume the opportunity.
AI organises hundreds of messages, finds patterns and connects signals with business outcomes.
Illustrative case · Recreated analysis
Sometimes the clue is scattered across messages and documents. See how an AI system can connect those pieces and prepare an opportunity for action.
Cafetería Aurora requested equipment for two locations. The proposal was sent, but a question remained unanswered.
Each signal connects a source to a finding. Open any document to check the information it provides.
The system prepares the information needed to continue a stalled negotiation, with evidence, rejected alternatives and outstanding tasks.
↗ Explore the panel tabs to see the plan, the reply and its sources.
The proposal and an apparent alternative did not meet all customer requirements.
Two coffee shops need equipment. The customer is waiting for confirmation of space and capacity before approving.
AI can organise the work; the team owns the decision and the communication.
Explore the case sources:
An intelligent system must also recognise when information is missing and when to respect the customer’s decision.
A shop receives messages, returns and records every day. Separately, they are data. Connecting them can reveal signals nobody had noticed.
At the fictional online shop Norte, the Alba shirt seems to sell well. Yet size M returns are rising. Customer conversations could explain what is happening.
Watch the messages group by topic. Then compare the main group with returns and product documentation.
AVAILABLE INFORMATION
Open any source to examine the data.These are related findings; they do not prove the cause of every return.
The comments, returns and measurements justify prioritising a review of lot LN-42.
The system connects size M complaints with returns data and measurements from one lot. The team now knows where to investigate first.
3 samples from lot LN-42 are outside the documented 53–55 cm range. This is a solid lead to investigate the lot, but it does not prove the cause of every return.
Sales intelligence is one application. Here are other capabilities OrStudio can integrate into custom solutions.
Conversations with context and tools.
Text, images, documents and audio.
Supervised tools and tasks.
Patterns, signals and recommendations.
Information and verifiable sources.
Intelligent features in your applications.
The system is designed around your customers, data and business rules.
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