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IntiCo Global
IntiCo operates in multiple offices and development centers across the US, Latin America and EMEA.
+50
Offices in 8 countries serving more than 50 countries worldwide.
20+
Innovating in Customer Experience.
+600
Clients Worldwide.
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Our proprietary AI solution transforms customer experiences, propelling businesses toward success.
Open CX is an AI-powered digital experience platform offering a 360-degree view of the customer journey.
integration

Seamlessly integrate with your tech stack

Merge multiple channels into one platform
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The OpenCX ecosystem represents IntiCo’s most capable AI

OpenCX

Omnichannel

Analytics BI

Integrations

AI Model Training

OpenCX is evolving to be more than just the models. It supports an entire ecosystem — from the products that a lot of customer use every day, to the APIs and platforms helping developers and businesses innovate.

Data Collection:

collection of data relevant to bot training.

Real-time compliance updates:

parameter configuration, algorithm settings, and tests to train the bot.

Hyper-Personalization:

Incorporation of the client’s communication style, integrations, specific terminology and usage scenarios.
AI Training Model
Documents
Training models using documents involves extracting structured and unstructured information from textual sources like PDFs, Word files, or text databases.
Key Features:
– Data extraction: Using techniques like Optical Character Recognition (OCR) to extract text from scanned documents or images.
– Preprocessing: Cleaning text (removing stopwords, normalization, lemmatization) to make it suitable for training.
– Natural Language Processing (NLP): Advanced processing to understand context, semantic relationships, and entity extraction.
– Labeling: Documents are classified or labeled to train supervised models.
– Application Example: Content-based recommendation systems or customized search engines.
Webscrapping
Web scraping involves collecting data from websites to feed AI models.
Automation: Tools like BeautifulSoup, Scrapy, or Selenium are used to collect large volumes of data from websites.
Preprocessing unstructured data: Cleaning and organizing data that may come in HTML, JSON, or XML formats.
Automated labeling: Collected data can be automatically labeled using classification or clustering techniques.
Application Example: Training predictive models based on market trends, social media, or product reviews.
Learning
Machine Learning-Based
This stage combines data from documents and web scraping, utilizing machine learning techniques to train the model.
Key Features:
Supervised Learning: Labeled data (e.g., classified text from documents) is used to train models to predict or classify new inputs.
Unsupervised Learning: Methods like clustering are applied to unlabeled data to identify patterns (e.g., customer behavior groups).
Iterative Training: Models improve through multiple cycles of testing, evaluation, and adjustment.
Evaluation: Metrics like accuracy, recall, or F1-score are used to measure performance.
Feature Automation: Automatic selection of the most relevant features to enhance model performance.

Unique features

Analytics BI Module

AI is transforming the field of Analytics and Business Intelligence (BI) in several significant ways:

01.

Enhanced Data Preparation and Analysis

● Automated Data Wrangling: AI algorithms can automatically clean, transform, and prepare data for analysis, saving analysts significant time and effort. This includes tasks like identifying and handling missing values, detecting and correcting inconsistencies, and transforming data into suitable formats.
● Advanced Data Exploration: AI can uncover hidden patterns and insights within large datasets that might be missed by human analysts. Techniques like machine learning and deep learning can identify complex relationships, anomalies, and trends that are not easily discernible through traditional methods.

02.

Improved Predictive Modeling

● Forecasting and Prediction: AI-powered models can accurately forecast future trends and predict outcomes with greater precision. This enables businesses to make more informed decisions about inventory management, demand planning, pricing strategies, and resource allocation.
● Risk Assessment and Fraud Detection: AI algorithms can analyze historical data to identify potential risks and fraudulent activities. This can help businesses proactively mitigate risks,
prevent financial losses, and ensure compliance with regulations.

03.

Enhanced Decision-Making

● Prescriptive Analytics: AI can go beyond predictive analytics by providing actionable recommendations and suggesting optimal courses of action. This can help businesses make more informed and data-driven decisions across various functional areas, such as marketing, sales, operations, and finance.
● Personalized Insights: AI can personalize insights and recommendations for individual users or business units based on their specific roles, responsibilities, and data access needs. This ensures that decision-makers receive the most relevant and actionable information.

04.

Increased Accessibility and Efficiency

● Natural Language Processing (NLP): AI-powered NLP capabilities allow users to interact with BI platforms using natural language queries. This makes it easier for non-technical users to access and understand complex data, democratizing the use of BI tools within organizations.
● Automated Reporting and Dashboards: AI can automate the creation of reports and dashboards, freeing up analysts to focus on more strategic tasks. This also ensures that reports are generated and delivered on time, providing timely insights for decision-making.

Natural Language Processing (NLP)
Ability to understand and process human language, including speech recognition, text comprehension, and contextual understanding.
Predictive Analytics
Ability to forecast future outcomes or trends based on historical data and patterns.
Autonomous Decision-Making
Capacity to make decisions or take actions independently based on predefined rules or learned patterns.
Machine Learning
Capacity to learn from data and improve performance over time without being explicitly programmed, including the ability to handle complex patterns and correlations.
Reasoning and Problem-Solving
The ability to analyze information, make inferences, and solve problems in a manner similar to human reasoning.
Speech and Voice Recognition
Ability to accurately transcribe and interpret spoken language, enabling applications like voice assistants and transcription services.
Capabilities

OpenCX Capabilities

OpenCX use the latest artificial intelligence technology to understand and respond to customer inquiries, providing accurate and efficient assistance.
World Class Innovation
Capacity to engage in natural, interactive conversations with users, typically through chatbots or virtual assistants.
Personalization and Recommendation
Capability to provide tailored experiences, content, or suggestions based on individual preferences and behavior.
Continuous Learning and Adaptation
Capability to adapt to new data and changing circumstances to improve performance over time.
Multi-language Support
Communicate effortlessly across different languages with OpenCX multi-language capabilities.
Analytics and Reporting
Gain valuable insights into your email performance with OpenCX analytics and reporting features.
Secure Data Encryption
Protect your sensitive information with OpenCX secure data encryption.

Conversations going across channels

Customers want to connect with you using their favorite communication channels. Integrate Easy chat with multiple platforms to make sure you are there for them.
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Key Benefits
Customer Experience Optimization
24/7 and real-time attention to any query and from any location on a global scale under multi-language support.
 Key Benefits
Reduction of Operational Costs
The inclusion of AI processes in its end-user service processes allows it to handle an efficient alternative over automatable tasks.
Key Benefits
Hyper Personalization
OpenCX-based automations can deliver personalized recommendations and offers based on customer data and behavior.
Key Benefits
Operational Efficiency
AI-based automation frees up human resources for more complex and strategic tasks.
Adapting the OpenCX tool to your unique business scenarios:
A comprehensive suite of integrated CX applications for customer self-service, omnichannel interaction, workforce engagement and employee collaboration.
AI-Powered Efficiency

Automates routine tasks and processes, freeing up your team to focus on strategic activities.

Deep Insights

Foster a collaborative environment with shared access to company knowledge.

Scalability

From small teams to large enterprises, our platform grows with your business, scaling as you go.

Availability
24/7
Improved
Insights
Seamless
Omnichannel Experience

Empower your business with intelligent AI solutions

Financial Services
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Healthcare
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Hospitality and Travel
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eCommerce

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