Data Science
Data Science
Transforming Data into Intelligent Predictions with Data Science
Unlocking Predictive Power with Data Science — At X365, our Data Science solutions transform complex data into intelligent predictions and smarter decisions. From forecasting demand and detecting risks to building machine learning models and automating analytics, we help businesses stay ahead with data driven strategies.
The Challenge
In today’s fast-paced digital world, businesses face vast amounts of complex data but often lack the tools and expertise to extract its full value. Unstructured data, outdated systems, and shifting market trends make timely, data-driven decision-making a challenge.
The Solution
At X365, we transform complex data into actionable insights through end-to-end data science solutions—covering predictive analytics, data engineering, and BI dashboards. We help organizations across industries turn data into a competitive advantage.
The Impact
Our solutions improve forecasting accuracy, reduce operational costs, and boost customer engagement. With real-time visibility and scalable data architectures, X365 empowers faster, smarter, and more confident decisions.
The Challenge
In today’s fast-paced digital world, businesses face overwhelming amounts of data but often lack the tools and expertise to extract value from it. Challenges like unstructured data, limited in-house capabilities, and outdated systems—combined with shifting customer behavior and market trends—hinder their ability to make timely, data-driven decisions and stay competitive.
The Solution
At X365, we turn complex data into clear, actionable insights that drive growth and innovation. Our end-to-end data science solutions—spanning predictive analytics, data engineering, and BI dashboards—help businesses solve real challenges and stay ahead. From retail to healthcare and finance, we deliver measurable impact through smarter decisions and data-driven strategies
The Impact
Our solutions deliver meaningful and measurable outcomes—enhancing forecasting accuracy, reducing operational costs, and strengthening customer engagement. By providing real-time visibility into critical metrics and building scalable data architectures, X365 empowers every business function to make faster, smarter, and more confident decisions.
Talk to our solution consultant to select the best-suited modules for your venture.
Connect with our expert consultant to identify the most relevant modules tailored to your business needs, ensuring efficiency, scalability, and a seamless patient experience.
Modules
Empowering Industries with Data Science
Retail & E-Commerce
Customer segmentation, demand forecasting, and recommendation systems that boost sales and retention.
Healthcare
Predictive diagnostics, patient risk scoring, and clinical data analytics that improve outcomes and reduce costs.
Manufacturing & Supply Chain
Predictive maintenance, inventory optimization, and quality control automation to streamline operations.
Finance & Insurance
Fraud detection, credit scoring, and portfolio analytics that safeguard assets and drive smarter investments.
Telecommunication
Driving smarter retention, usage analysis, and personalized customer experiences through data-driven insights.
Case Studies
Data Science Case Studies
Retail
Retail
Case Study 1: Optimizing Inventory for a Retail Chain
A leading retail chain operating across hundreds of locations was facing significant inventory management challenges, including frequent stock outs of high-demand items and overstock of slow moving products. These inefficiencies led to lost sales opportunities, increased holding costs, and reduced customer satisfaction. A demand forecasting model was developed using historical sales data, seasonal patterns, and local event information to generate accurate, store-level demand projections. This enabled more precise inventory allocation and replenishment planning, resulting in improved product availability, reduced excess stock, and better alignment between supply and demand.
Case Study 1: Optimizing Inventory for a Retail Chain
A leading retail chain operating across hundreds of locations was facing significant inventory management challenges, including frequent stock outs of high-demand items and overstock of slow
moving products. These inefficiencies led to lost sales opportunities, increased holding costs, and reduced customer satisfaction. A demand forecasting model was developed using historical sales data,
seasonal patterns, and local event information to generate accurate, store-level demand projections. This enabled more precise inventory allocation and replenishment planning, resulting in improved product availability, reduced excess stock, and better alignment between supply and demand.
Manufacturing
Manufacturing
Case Study 2: Predictive Maintenance in Manufacturing
A large manufacturing operation was experiencing unplanned machinery breakdowns, disrupting production schedules and increasing maintenance costs. Traditional time-based maintenance approaches were proving inadequate, often triggering either premature servicing or late interventions.
By integrating IoT sensor data from factory equipment and applying machine learning algorithms, a predictive maintenance framework was established to detect early warning signs of equipment failure. This allowed maintenance tasks to be scheduled based on actual asset condition, minimizing downtime, reducing operational risk, and extending the lifespan of critical machinery.
Case Study 2: Predictive Maintenance in Manufacturing
A large manufacturing operation was experiencing unplanned machinery breakdowns, disrupting production schedules and increasing maintenance costs. Traditional time-based maintenance
approaches were proving inadequate, often triggering either premature servicing or late interventions. By integrating IoT sensor data from factory equipment and applying machine learning algorithms, a predictive maintenance framework was established to detect early warning signs of equipment failure. This allowed maintenance tasks to be scheduled based on actual asset condition, minimizing downtime,
reducing operational risk, and extending the lifespan of critical machinery.
Case Study 2: DentalCare+ – Automating Billing and HR for Growing Practice
With a growing team of dentists and staff, DentalCare+ turned to X365 ERP to automate HRIS, Payroll, and Shift Scheduling. POS Billing with treatment-specific packages and Automated Accounting Integration improved revenue tracking. Their monthly admin workload dropped by 60%, and patient satisfaction improved due to transparent billing.
Pricing
Affordable Pricing Tailored for Business Growth
At X365, our work speaks for itself. From custom web and mobile applications to cloud-powered platforms and digital marketing success stories, our portfolio showcases the results of creativity, collaboration, and technical excellence.
No High Upfront Fees
Enjoy affordable, risk-free entry with pricing plans tailored to fit businesses of all sizes and stages.
Scale As You Grow
Our flexible model grows with your business — upgrade anytime as your needs and success expand.
Transparent Revenue Share
Only pay a fair share — with a maximum 2% revenue cut, no hidden costs, just growth-focused pricing.
No High Upfront Fees
Enjoy affordable, risk-free entry with pricing plans tailored to fit businesses of all sizes and stages.
Scale As You Grow
Our flexible model grows with your business —upgrade anytime as your needs and success expand.
Transparent Revenue Share
Only pay a fair share — with a maximum 2% revenue cut, no hidden costs, just growth-focused pricing.
