Data-driven marketing
We created a solution that helped optimize the customer base to get the most out of the customer data. This solution notifies the client about the services/goods, which they would likely buy, according to the gathered information.
20%
200%

Don’t Fall Behind—Outpace Competitors!
Enhance Your Data Accuracy and Reporting. Secure your advantage with real-time updates and predictive insights before others catch up!
About the client
An international digital marketing and advertising agency, who created the first information platform built for marketers around the world.
Tech stack
Pandas
Pyspark
TensorFlow
PostqreSQL
Hadoop
Challenges & solutions
Challenge
Craft personalized buying journeys for the prospects.
Increase conversion across the entire customer lifecycle.
Get insights into the customer persona and create a more personalized approach to customer engagement.
Solution
Developed a platform, which:
– monitors the period of time in which the client is the most likely to place an order;
– analyzes the sales histories of a specific client;
– helps to implement cross-selling;
– creates individual recommendations for each client, significantly increasing the likelihood of a sale, and, hence the company’s profit;
– integrated the platform with the other popular e-commerce platforms;
– implemented a system, which helps to download/upload data on the consumption of services by clients, dividing them into certain groups, according to the purchased services/goods;
– created a platform, which analyzes and identifies the periods, when the client is most likely to place an order. Based on this data, the customer can build his advertising campaign, thereby foreseeing what to offer to the client at the time of his purchase, hence increasing his lifetime value and loyalty.

They developed solutions that brought value to our business.

Jeremy Groves
ThinkDigital, Digital and Marketing Agency
How we provide data integration solutions

Step 1 of 5
Free consultation

Step 2 of 5
Discovering and
In Data Science, there are numerous models and approaches, so at this stage we perform a set of interviews in order to define project objectives. We elaborate and discuss a set of hypotheses and assumptions. We create solution architecture, a project plan, and a list of insights or features that we have to achieve.

Step 3 of 5
Solution development

Step 4 of 5
Solution delivery

Step 5 of 5
Support and continuous improvement
Success stories
Check out a few case studies that show why VOLTERA will meet your business needs.
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.

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.

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.

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
Senior Supply Chain Transformation Manager Unilever, World’s Largest Consumer Goods Company
View case study →

Activate Your Data’s Power
Get in touch today to discover how we can help you use your data to surpass the competition.