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REINVENTING DATA ANALYSIS EXPERIENCE

Today’s rapidly changing business environment demands agile adaptation. It is good to have the most value of your resources, especially from your data. In order to cover your all needs, as Intellity, we are presenting the wide range of services. And we are reinventing data analysis experience. With Lena AI, all processes can be completed swiftly.

On Premise

Our Lena Engine can be installed on your own server after life long license of the software and is then at your disposition for an unlimited period.

On Demand Platform

All algorithms are at your service, You do not have to pay, if you are not using them. Set a plan for your needs, control your processes and control your budget.

Software As A Service

Artificial intelligence and machine learning concepts are in self service. Analyze your data without and setup or integration process.

What can AI do for you?

PLEASE SELECT AN INDUSTRY

The Change

Today’s rapid shifting customer preferrences’ world puts more value in customer protection. Protecting current customer portfolio is important as much as converting people into the new customers.

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Steadfast Forcasting

Especially in retail business, keeping customer energized is a delicate issue. For brick and mortar businesses, it demands too much know-how. AI can forcast your future.

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Machine Learning Power

Do not handle your customers blindfolded. With power of machine learning, you can know the valuable segments of your customer portfolio and create a good brand experience for them.

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Management Enhancement

Constant reports keep you on the desk. What if you can test your decision with a tool? Decision Simulations will lead you towards to your target.

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Customer Segmentation

Customer Loyalty

Intelligent Sales Force

Basket Tracking and Analysis

Many companies, notably retail companies, cannot handle their customers. The customer groups organized by the existing management team lead to ill-usage of the executives' energies. In addition, the return rates of the marketing field campaigns are often below the potential. Experts to be included to the team for accurate management also lead to saturation in the budget.

With proper segmentation of customers;

Efficiency increase for customer management
Return rates rise with the help of target-oriented campaigns.
With the learning model, a newcomer customer can be instantly classified and managed easily.

In the competitive environment, the fact that the customer cannot be predicted to pass to the contestant and that the return of the customer generates much higher costs than the acquiring new customer is a problem for many companies in different sectors.

With the customer loyalty management tool;

Preventing the loss of the brand reputation caused by customer loss.
Reducing the cost of recovering the reserved customer.
Ensuring that customers stay in the portfolio with the right steps before they leave.
It is aimed to increase the customer lifetime value.

Co-ordination and management of field sales teams are the operations where high efficiency is expected by companies using this type of sales channel. But not every company can support the costs of expert knowledge that will aid the team in the field, guide them and empower them to touch at the right point.

An intelligent empowered sales force;

Increase efficiency in field campaigns.
Planning highly accurate sales targets.
Demand-oriented solid production/procurement planning.
It is aimed to increase the sales force efficiency.

Abandoned baskets can give much more clues about visitors’ habits and they can help improve conversion rate. For these baskets, our algorithms are using two different method.

First method is Tracking and Self-Reminding Method. In this method, our algorithms will analyse abandoned basket and remind it to visitor with proper channel. (E-mails, mobile notifications or gift cards)

Second method is more proactive than the first. In this method, our algorithms analyse behavioral patterns of visitors, which leads to abandoned baskets. After recognizing patterns, autonomous algorithms will propose rules to you and create a proactive system with you. When a visitor follows these «dangerous» patterns, AI algorithms will take actions with proper tools and rules.