Artificial intelligence
To predict your future
commercial

We connect artificial intelligence with your company's business operation to anticipate behavior, optimize profitability and automate business decisions with real evidence.

Diagnostic

Are any of these situations familiar to you?

Many companies already have dashboards, reports and models, but they continue to make decisions late, manually or with little anticipation capacity. Using AI, it is possible to obtain recommendations, prioritize opportunities and automate business decisions with business judgment.

Invisible profitability

The average revenue per customer is known, but not the real profitability considering service, channel and lifecycle costs in.

Descriptive data without action

Their dashboards say what happened. But you don't know how to interpret what's going to happen or what your sales team should do tomorrow.

Non-attribution investment

You don't know precisely which channel, touchpoint or campaign generates the most valuable customers. Marketing investment operates without evidence.

A very high Churn

Customers leave before the sales team reacts. The sign of abandonment was in the data; no one processed it in time.
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Anticipating behavior

Models that project demand, probability of buying, churn risk and life cycle of each customer before it occurs.

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Interactive Dashboards

Recommendation systems that prioritize commercial actions, offers and channels based on the real profile of each account or segment.

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Automation of
Reports

Intelligent rules that activate actions in CRM, marketing and sales without manual intervention, based on verified data.

The Solution

Artificial intelligence
applied directly to the business

AI applied to companies' business strategy is the set of models, systems and capabilities that help your company to make better business decisions, with greater speed and less error.

Perfect complement

Business Data Intelligence

Unlike traditional strategies, at Venderi we have our own Data Science and Business Intelligence capabilities. Your marketing decisions are backed up with real analysis: predictive conversion models, behavioral segmentation, scoring based on historical data and BI dashboards connected to business objectives.

Our Approach

What does AI solve?
Commercial in your company?

Each model implemented responds to a specific business problem with a measurable impact on the company's revenue, efficiency or profitability.

Use case 1

Predictive demand and behavior models

Accurately project which customers will buy, when and which categories. Orient your commercial strength to the opportunities most likely to close.

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Probability of buying per account
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Predicting churn in advance
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Demand forecasting by channel and territory
Use case 2

Recommendation systems by customer and channel

Customize proposals, cross-sells, and marketing actions based on each customer's real history, not by manual rules or random generic segments.

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Next best action per account
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Product and service recommendation
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Intelligent pipeline prioritization
Use case 3

Analysis of real profitability by customer, channel and product

Go beyond revenue. Calculate net margin adjusted for cost of care, channel, frequency, and lifecycle for each customer segment.

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CLV adjusted for real cost
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Profitability by acquisition channel
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Segmentation by value, not just volume
Use Case 4

Attribution modeling for marketing investment

Identify which channels, campaigns and touchpoints generate the most valuable customers for your company. Redistribute investment with evidence, not assumptions.

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Multi-touch attribution models
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Actual ROAS by channel and segment
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Budget optimization with AI
Use Case 4

Advanced segmentation and customer scoring

Build scoring models that classify customers, prospects and accounts based on their real potential, not just by demographic criteria or purchase history.

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ICP scoring based on own data
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Behavioral microsegmentation
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Custom propensity models
How we work

A process that goes from diagnosis to automated decision.

We seek to deliver systems that work within their operation and generate better decisions on a continuous basis, for them we apply a methodology that achieves the expected results.

Analytical maturity diagnosis

We evaluate the quality of your data, existing infrastructure, and current decision level to define the right entry point.

Business model design

We define which business problem to solve first, what data to use and what type of model generates the most impact in the shortest time.

Implementation and integration

We build, validate and integrate models with your CRM, marketing and operational systems without interrupting daily work.

Continuous measurement and optimization

We monitor the performance of the models, adjust as market behavior changes and deliver impact reports.
Free diagnostics

The first step is to understand what AI can do with your current data.

In one session, we evaluate your data infrastructure, your business objectives, and the real potential to apply AI to your operation. Without commitments or generic proposals.

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Everything you need
Know before you start

We solve the most common questions here, from the scope of the initial audit to the real results you can expect in terms of efficiency, costs and scalability, these answers will give you total clarity to make a strategic and informed decision.

Do we need to have BI implemented to hire Commercial AI?
It is not required, but it is recommended. If they already have a structured database even if they don't have formal BI, we can work from that base. The initial diagnosis determines the right entry point for each company.
What platforms does commercial artificial intelligence integrate with?
The models are integrated with HubSpot, Salesforce, advertising platforms (Google, Meta, LinkedIn), BI tools (Looker, Power BI, Tableau) and own data sources via API or native connectors.
What about the security and privacy of my company's data?
We work under business security standards. Your company data is not used to train third-party models. We comply with GDPR and applicable local data protection regulations.
How is AI focused on the business area different from an AI agent or a chatbot?
Agents and chatbots automate interactions. Commercial AI automates decisions. It's the difference between having an assistant that answers questions and having a system that tells your team which customer is most likely to buy today, which channel generates the most margin, or when they're going to lose a key account.
How long does it take for artificial intelligence to be implemented in my company?
It depends on the scope, but most projects produce the first outputs in 6 to 10 weeks. The initial diagnosis allows us to estimate times and prioritize the most impactful use cases.
Does this replace the implementation of Business Intelligence or Data Science?
Business Intelligence It allows you to understand what is happening in your business based on historical data. Data Science It goes one step further and helps you predict what could happen through analytical models.

Business Intelligence with AI takes that knowledge and turns it into action, because it is the layer that connects data and models with specific decisions: which customer to prioritize, what opportunity to scale, which channel to optimize or what action to automate at the right time.

?Do you need a marketing strategy?

We help companies implement performance and growth strategies that take advantage of data to optimize customer acquisition and loyalty.

?Do you have questions about our service?

If you have questions about our services you can request advice with our team