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+
100+
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About the client
A British-Dutch transnational company focused on production of FMCG, products of which are represented in about 190 countries around the world. The company owns more than 400 brands. The turnover in 2017 is more than €50 bln.
Tech stack
ReactJS
Django
Pandas
PostqreSQL
AWS
Challenges & solutions
Challenge
Our main goal was to optimize the work of employees by building a data sources integration and a reporting system to use at the different management levels of the Client. Daily, the Client’s reporting department deals with data gained from suppliers, sales and payments info, etc.
Solution
Created a system that unifies data from all sources connected with supply of goods and stores them in a structured form. Developed a system that controls data integrity and identifies anomalies.
Challenge
Data from more than 100 different sources gained by copying info from contractors’ systems comes in the form of Excel sheets, PDF files.
Solution
Developed a web portal with the possibility of multi-level filtering and dynamic display of data which consists of:
• Consolidated dashboard for management.
• Detailed support of the goods supply.
• Blocks for monitoring the implementation of planned indicators and prompt notification of deviations.
• Individual access for different groups of employees.
Challenge
Reporting department consisting of 15 workers processes unstructured data, forming tables and graphs, analyzes information for trends and generates management reports.
Solution
Reduced more than 900 hours of manual work monthly. Instance reports for management.
Their technical knowledge and skills offer great advantages. The entire team has been extremely professional.
Michelle Nguyen
Unilever, World’s Largest Consumer Goods Company
Steps of providing web applications services
Step 1 of 7
Web development discovery
In the initial stage of the web-based development project, professional business analysts make detailed documentation of the project requirements and the approximate structure of the future web application. VOLTERA is a custom web application development agency, guided by extensive experience in multiple industries. We give you detailed project documentation and then assemble the team according to your time and budget.
Step 2 of 7
UX and UI design
Step 3 of 7
Web-based application development
At VOLTERA we are following the best programming design principles and approaches. Being a data engineering company, we build high load platforms, with a significant level of flexibility and result orientation. We keep our deadlines and follow SOC 2 compliance requirements.
Step 4 of 7
Integration
With VOLTERA, integrating the application into your business won’t stop your processes for a minute. We provide seamless integration with your software infrastructure and ensure smooth operation in no time.
Step 5 of 7
Quality assurance
We use a multi-level quality assurance system to avoid any unforeseen issues. Working with VOLTERA, you can be confident that your web app development service solutions arrive to the market polished and in full compliance with all certification requirements.
Step 6 of 7
24/7 support
Once a product is released to the market, it’s crucial to keep it running smoothly. That’s why our experts provide several models of post-release support to ensure application uptime and stable workflows, increasing user satisfaction.
Step 7 of 7
Web app 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.
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