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E-commerce

VOLTERA Services for
the E-Commerce Industry

Optimize business performance, enhance customer engagement, and drive innovative growth in the digital marketplace with AI-adopted technologies.

Let your data create value

Data Engineering Services Satisfy Needs

Scale infrastructure effectively, optimize user experience and supply chain, improve customer service with AI, and derive actionable insights.

The Core Essence
of Data Science

Harness advanced analytical techniques and AI/ML algorithms to interpret complex data. Analyze user behavior and preferences, forecast demand, and use intelligent chatbots.

Data Scraping and Customer
Service Automation

Gather customer feedback and queries from various platforms to train and improve AI models.

Managing Large-Scale
Infrastructure with DataOps

Optimize data workflows, making scaling more responsive to fluctuating demands.

Data Integration for Informed
Decision-Making

Aggregate and harmonize data from diverse sources, providing a comprehensive view. Combine big data from various supply chain sources.

Web Development for
User-Friendly Trading

Create dashboards and reporting tools that are accessible through a website or an intranet.

Customized E-Commerce Data Solutions

Adjust prices dynamically with real-time data and much more.

Data Warehousing and Integration

Are you having difficulty managing data from multiple sources? The solution centralizes data from various sources, providing a robust infrastructure for easy access.

Advanced Sales Optimization Solution

Have you struggled with increasing sales, improving customer satisfaction, and reducing cart abandonment rates? The solution enhances sales, customer engagement, and conversion rates.

Don’t make the process harder than it is.

Jack Welch, American business executive

Simplify data acquisition with VOLTERA

Better Products and Experiences

Benefits of e-commerce using our services and solutions:

01 Enhanced decision-making

I want it!

02 Optimized inventory management

I want it!

03 Customer segmentation for
targeted marketing

I want it!

04 Efficient supply chain management

I want it!

05 Personalized customer experiences

I want it!

06 Fraud detection and prevention

I want it!

07 Predictive analytics for
future planning

I want it!

08 Competitive advantage

I want it!

Boost Work Efficiency and Accuracy with Expert Machine Learning Support.

Get in Touch Now!

Get in Touch

Cases of Using Artificial Intelligence and Machine Learning

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

All Success Story
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.

Mark S.

Partner Pharmacy network,

View case study →
Stock relocation solution

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.

Christopher Loss

Christopher Loss

CEO Dayrize Co, Restaurant chain,

View case study →
Client Identification

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.

Amir R.

Amir R.

CEO, CEO Fashion Retailer

 View case study →
Performance Measurement

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.

Michelle Nguyen

Michelle Nguyen

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

 View case study →
Supply chain dashboard

What Data Science technologies do we use?

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

Steps
Towards Good Development

These data engineering development stages ensure that solutions are well-designed, thoroughly tested, and aligned with business objectives.
How do we help companies?

Step 1 of 7
Initial Project Assessment 
and Definition

In the early phases of our data engineering development process, we engage in a free consultation to gauge project compatibility. During the discovery and feasibility analysis, we adapt to your needs, whether it’s high-level requirements. We gather information to define project scope through discussions, including feature lists, data fields, and solution architecture. We craft a project plan to guide our progress, reflecting our dedication to achieving project goals and delivering effective data engineering solutions.

Step 1 of 5
Free consultation

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Step 2 of 7
Discovery

So, you have finally decided that you are ready to cooperate with DATAFOREST. The discovery stage involves delving into the details of the project. Data engineers gather requirements, analyze existing systems, and understand the needs of the business. This step is crucial for laying the groundwork for development, as it ensures that the project aligns with business goals and user needs.

Step 1 of 5
Free consultation

Step 3 of 7
Tech Design and Backlog Planning

In this stage, the technical architecture and design of the solution are formulated. Data engineers plan how data will be collected, stored, processed, and presented. Simultaneously, the project backlog is created — a list of tasks and features to be developed. This backlog is prioritized, ensuring that high-priority items are addressed first.

Step 1 of 5
Free consultation

Step 4 of 7
Development Based on Sprints

Development takes place in iterative cycles known as sprints. During each sprint, the development team tackles tasks from the backlog. The team focuses on coding, testing, and integrating the components. At the end of each sprint, a functional part of the solution is ready for review.

Step 1 of 5
Free consultation

Step 5 of 7
Project Wide QA

Quality Assurance is an ongoing process that permeates the entire project development lifecycle. It ensures rigorous testing, identification, and resolution of any bugs or issues to guarantee the solution’s smooth operation, compliance with requirements, and alignment with quality standards. The solution is prepared for release as QA activities persist and necessary adjustments are continuously implemented.

Step 1 of 5
Free consultation

Step 6 of 7
Deployment and Rollout

The deployment phase involves releasing the solution to the production environment, making it accessible to users. It requires careful planning to ensure a seamless transition and minimal disruption. After deployment, the rollout phase begins, involving training for users and ongoing support to address any hiccups.

Step 1 of 5
Free consultation

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Step 7 of 7
Support and Continuous Improvement

In the final stages, we ensure ongoing excellence. We guarantee optimal performance and swiftly address any issues. Simultaneously, our feedback process empowers us to continuously enhance the solution based on user insights, aligning it with evolving needs and driving continuous innovation.

Step 1 of 5
Free consultation

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Still have questions about data science services?

Can you handle large volumes of data from various sources, including sales, inventory, and customer interactions?
How does your Ecommerce Data Processing service integrate with our existing systems and processes?
How can VOLTERA help us personalize our marketing strategies and improve customer experiences?
How long does it typically take to process and analyze our e-commerce data?
Can you tailor your E-commerce Data Processing solutions to our business needs and industry?
What types of reports and visualizations do you offer to help us monitor and measure the impact of your services on our business growth?
How can we get started with ordering E-commerce Data Processing services from VOLTERA?
Do you offer ongoing support and assistance after implementing your data processing solutions?
How can VOLTERA help us optimize our inventory management and supply chain operations?
How do you ensure the processed data is accessible and easily interpreted for our team?
What is the role of big data in general and big data analytics in particular for data engineering in e-commerce?