Predictive Analytics As a Service

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Predictive Analytics As a Service

Predictive Analytics As a Service — Advanced Solutions for Your Business

Our predictive analytics helps businesses tackle problems, seize opportunities, and improve overall performance by using data to inform their decisions.

Transforming Business with Predictive Insights

With these services, we help you tap into predictive analytics to make smarter decisions, connect better with customers, and level up your game.

01 Predictive Analytics and Forecasting

Develop customized predictive models.
Generate accurate forecasts.
Implement it to anticipate market trends.
Provide ongoing support.

02 Customer Behavior Analytics

Analyze customer interactions.
Segment customers by behavior.
Create comprehensive reports.
Recommend strategies.

03 Market Trend Analytics

Monitor market trends.
Deliver market analysis reports.
Identify opportunities in real time.
Suggest adaptation strategies.

04 Risk Assessment and Management

Evaluate potential risks.
Develop risk assessment models.
Recommend mitigation strategies.
Implement risk management solutions.

05 Conversion and Purchase Prediction

Predict customer conversion rates.
Optimize sales and marketing campaigns.
Provide insights into customer journeys.
Continuously monitor predictions.

06 Customer Segmentation

Segment customers by preferences.
Create detailed customer profiles.
Implement targeted campaigns.
Monitor the effectiveness.

Custom Predictive Insights

Our custom predictive solutions are the secret sauce that helps you make smarter decisions, amp up your efficiency, wow customers, and rock performance.

Profit Optimization Solution

Our implementation leverages machine learning algorithms and advanced data analysis tools to continuously assess market conditions, historical data, and real-time information.

Customer Engagement with Advanced Personalization

Our solution is the key to achieving unmatched personalization, as it delves deep into understanding customer behavior.

Forecasting Success Amidst Change

Our solution empowers your business to predict the impact of shifting weather, evolving social trends, and economic fluctuations on your operations.

Optimize Team Performance

Our solution harnesses the power of data analytics, machine learning algorithms, and historical performance data to craft productivity models that factor in workload, skills, and external influences.

Eco-Guide for Sustainable Business Success

Our solution harnesses the synergy of data analysis, advanced modeling, and machine learning algorithms to meticulously evaluate the environmental consequences of your business decisions.

Predictive Crisis Management for Business Resilience

Our solution leverages state-of-the-art data analysis, machine learning, and predictive modeling to foresee potential crises by examining a vast array of data sources and historical crisis patterns.

Boosting Workplace Bliss and Retention

Our solution harmoniously blends sentiment analysis, machine learning, and data processing to analyze employee feedback, surveys, and various data sources.

Digital Crime-Fighting

Our solution combines the power of behavioral biometrics, machine learning algorithms, and comprehensive user data to establish baseline behavior patterns, pinpoint anomalies, and swiftly uncover fraudulent activities.

Orchestrating Sales and Production

Our solution harnesses the power of AI-aided data analysis, statistical modeling, and machine learning algorithms to analyze historical data, decipher market trends, and consider the myriad factors that influence sales.

Customer Loyalty Sentinel

Our solution harnesses the power of machine learning algorithms and advanced data analysis to assess customer behavior, usage patterns, and pertinent data, allowing us to identify potential churn risks.

Strategic Supply Chain Grandmaster

Our solution employs data analysis, predictive algorithms, and supply chain optimization techniques to determine the optimal inventory placement, accounting for demand, seasonality, and logistical factors.

Predicting Your Future Customer Advocates

This solution harnesses the power of data analysis, machine learning algorithms, and customer behavior modeling to forecast the potential lifetime value of each customer.

Ready to Unleash the Power of AI and Machine Learning?

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Industry-Tailored
Predictive Analytics

These solutions offer tailored predictive analytics that cater to each industry’s unique challenges, needs, and trends, ensuring more precise and practical insights and strategies than generic solutions. 

Data Science Success Stories

Check out a few case studies that show why VOLTERA will meet your business needs.

Healthcare

Data Science

Data Insights & Forecasting

Stock relocation solution

The client was faced with the challenge of creating an optimal assortment list for more than 2,000 drugstores located in 30 different regions. They turned to us for a solution. We used a mathematical model and AI algorithms that considered location, housing density and proximity to key locations to determine an optimal assortment list for each store. By integrating with POS terminals, we were able to improve sales and help the client to streamline its product offerings.

10% productivity boost 7% increase in sales

Mark S.

Partner Pharmacy network,

View case study →

Data Science

Sales automation

Data Insights & Forecasting

Client Identification

The client wanted to provide the highest quality service to its customers. To achieve this, they needed to find the best way to collect information about customer preferences and build an optimal tracking system for customer behavior. To solve this challenge, we built a recommendation and customer behavior tracking system using advanced analytics, Face Recognition, Computer Vision, and AI technologies. This system helped the club staff to build customer loyalty and create a top-notch experience for their customers.

5% customer retention boost 25% profit growth

Christopher Loss

CEO Dayrize Co, Restaurant chain,

View case study →

Retail

Sales automation

Data Engineering

Performance Measurement

The Retail company struggled with controlling sales and monitoring employees’ performance. We implemented a software solution that tracks sales, customer service, and employee performance in real-time. The system also provides recommendations for improvements, helping the company increase profits and improve customer service.

17% increase in sales 15% revenue boost

Amir R.

CEO, CEO Fashion Retailer

View case study →

Retail

Supply-chain automation

Web and mobile development

Supply chain dashboard

The client needed to optimize the work of employees by building a data source integration and reporting system to use at different management levels. Ultimately, we developed a system that unifies relevant data from all sources and stores them in a structured form, which saves more than 900 hours of manual work monthly.

900h+ manual work reduced 100+ system integrations

Michelle Nguyen

Senior Supply Chain Transformation Manager Unilever, World’s Largest Consumer Goods Company

View case study →

Would you like to explore more of our cases?

What Data Science technologies do we use?

The tool for implementing the methods in the data science service is the program code, which can be divided into levels of integration as follows:

Pandas

SciPy

TensorFlow

Numpy

ADTK

DBscan

G. AutoML

Keras

MLFlow

Natural L. AI

NLTK

OpenCV

Pillow

PyOD

PyTorch

FB Prophet

SageMaker

Scikit-learn

SpaCy

XGBoost

YOLO

Ready to Cut Costs and Optimize  Operations with Machine Learning?

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ML Implementing

Following these steps provides an integrating machine learning process into business.

Problem Definition

In this initial phase, we work closely with your team to pinpoint the specific challenges or opportunities that predictive analytics services can address, ensuring alignment with your goals.

01 Data Collection and Cleaning

We gather and prepare the relevant data, cleaning and structuring it to ensure its quality and compatibility with the analysis process.

02 Exploratory Data Analytics

This stage calls for exploring the data to identify patterns, anomalies, and potential variables that can influence the predictive models, allowing us to understand the problem’s nuances better.

03 Model Selection and Development

Leveraging state-of-the-art algorithms and techniques, we construct predictive models tailored to your problem, fine-tuning them for accuracy and relevance.

04 Validation and Testing

Rigorous testing and validation procedures are implemented to assess the performance and generalizability of the predictive models, ensuring their effectiveness.

05 Interpretation and Insights

We provide in-depth insights and actionable interpretations of the analytics results, enabling data-informed decision-making and strategy formulation.

06 Users' Feedback

Deploying prototype to select user groups and gather comprehensive insights.

06 Challenges Addressed by Predictive Analytics

We leverage historical and current data to identify patterns and relationships that can be projected into the future.

Strategic Planning Uncertainty

Predictive Analytics forecasts future trends and outcomes to inform more confident long-term business planning.

Risk Management Complexity

Predictive Analytics identifies potential threats and vulnerabilities before they materialize into costly problems.

Customer Lifetime Value Estimation

Predictive Analytics determines which customers will likely become high-value, long-term clients worth additional investment.

Supply Chain Disruption

Predictive Analytics anticipates potential bottlenecks and shortages to maintain operational continuity.

Strategic Planning Uncertainty

Predictive Analytics forecasts future trends and outcomes to inform more confident long-term business planning.

Risk Management Complexity

Predictive Analytics identifies potential threats and vulnerabilities before they materialize into costly problems.

Customer Lifetime Value Estimation

Address limited financial resources by developing cost-effective, lean AI solutions that minimize initial investment.

Supply Chain Disruption

Predictive Analytics anticipates potential bottlenecks and shortages to maintain operational continuity.

The Road to Growth

Our custom big data predictive analytics solutions offer a range of substantial benefits to businesses, including B2B companies using predictive analytics for sales.

01 Data-driven insights that empower business.

02 Advanced algorithms to identify risks.

03 Understanding customer preferences to improve a journey.

04 Boosting sales through targeted marketing.

05 Streamlining processes for efficient operations.

06 Addressing issues and anomalies.

All publications

February 21, 2025

17 min

Custom E-commerce APIs Integrations: Types, Pros, Cons & FAQs

E-commerce

February 21, 2025

17 min

Data Analysis Leads to 3.6% Weekly Sales Growth

E-commerce

February 21, 2025

16 min

Big Data in E-commerce: Stars in the Sky

E-commerce

FAQ

Is predictive analytics part of data science?

How much data do I need for a predictive analytics project?

How scalable is predictive analytics for businesses of different sizes?

How accurate are the predictions generated through predictive analytics?

What are some everyday use cases for predictive analytics?

What tools or software are commonly used for predictive analytics?

Can predictive analytics help in identifying trends and patterns in data?

How can businesses ensure the privacy and security of their data in predictive analytics?

Can predictive analytics help with resource optimization and cost reduction?

Can predictive analytics be integrated with existing business intelligence systems?

How can businesses measure the success and impact of predictive analytics?

Can data mining and predictive analytics be applied in various industries or domains?

What is the difference between predictive analytics and forecasting?

How does BI reporting differ from predictive analytics?

Can companies use data science, predictive analytics, and big data at the same time?

Generative AI

Digital Transformation

Data Engineering

Custom Software Development

Web And Mobile Development

Data Science (AI/ ML)

Data Scraping

DevOps & Cloud Solutions

Predictive Analytics As a Service