What can be achieved with
predictive analytics?

Increase knowledge of customers, how to attract and retain them

1. Creating micro-segmentations of customers with similar behaviors, traits and affinity level (Clustering)

2. Influencing the transfer of customer segments towards those that produce greater benefits.

3. Recovering customers who have decreased their relationship (Recovering).

4. Preventing customers from becoming Inactive (Retention).

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Optimize Marketing and Sales Campaign

1. Shape campaigns and messages based on the likelihood of leads being effective or not.

2. Personalize communications based on the tastes of one group or another and increase the effectiveness of sales activities.

3. Promote cross-selling opportunities.

4. Increase average customer consumption by adding an upgrade to products that already have it (Up-Selling).

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Optimize operations to run more efficientlY

1. Product needs can be anticipated taking into account seasonality, trends, life cycles, safety stock and inventory levels to ensure the level of stock your business needs.

2. Reduction of working capital through optimization of finished product, raw material and production in-process inventories.

3. Alignment of production, distribution and supply activities in the supply chain, avoiding bottlenecks in production lines.

4. Get to know your employees, their productivity, and degree of satisfaction using advanced analytics techniques that help you measure, analyze and optimize decision-making about staff, supported by data.

5. Predictive maintenance of assets, minimizing maintenance costs, increasing their availability and useful life.

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Reduce risk, detect frauD

1. Creating a score for each credit application, using historical data, in order to know the credit susceptibility of a person.

2. Fraud detection, analyzing anomalies in the data.

3. Other uses related to risk include claims and insurance collections.