Machine learning demand forecasting
GFAIVE specializes in building ML-powered demand forecasting for fashion retailers. Our tools cater to our clients' unique data infrastructure and provide accurate, predictive insights that help stay ahead of competition.
Our international team consists of data scientists, engineers and analysts mostly originating from Eastern European countries (Georgia, Serbia, Belarus, and Ukraine) with high-quality technical education and deep knowledge of data science, mathematics, statistics and software engineering.
Our deep understanding of fashion retail challenges allows us to quickly get on board with business needs and start providing results even on short-term projects. We work in an agile manner, focused on delivering value every step of the way.
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Reviews
the project
Development Resources for Deep Learning Model
"They provided the needed data scientists and machine learning engineers quickly."
the reviewer
the review
The client submitted this review online.
Please describe your company and your position there.
I’m a project director at RTLabs. We provide system integration services for different types of customers.
For what projects/services did your company hire GFAIVE?
We were working on a project for one of our clients when we realized we didn’t have enough manpower. To accelerate development, we needed to quickly hire data and machine learning engineers.
What were your goals for this project?
We needed to build a deep learning model to analyze our clients’ operational processes quickly.
How did you select this vendor?
I reached out to a bunch of different data engineering and consulting companies but picked GFAIVE because of their expertise in data science and machine learning.
Describe the project and the services they provided in detail.
GFAIVE provided data science and machine learning experts. They worked on building a deep learning model to analyze our clients’ operational processes. Before project implementation, their team wrote a series of scripts to consolidate and clean the data.
What was the team composition?
A dedicated project manager, data scientists, and machine learning engineers worked on our project.
Can you share any information that demonstrates the impact that this project has had on your business?
Their remote team was professional and delivered at pre-agreed deadlines. They allowed us to finish the project twice as quick and at lower costs than if we'd hired in-house team members.
How was project management arranged and how effective was it?
They followed an agile project management method, working in sprints and delivering commitments in stages.
What did you find most impressive about this company?
It didn’t take long for us to gain access to their talent. They provided the needed data scientists and machine learning engineers quickly.
Are there any areas for improvement?
Nothing specific comes to mind.
the project
AI Data Tool for Manufacturing Technology Group
"Their professionalism, responsiveness, and frequent updates were outstanding. We didn’t have to worry about them."
the reviewer
the review
The client submitted this review online.
Please describe your company and your position there.
I’m the marketing manager at MAG IAS GmbH, a manufacturing technology group. We offer manufacturing systems, machine tools, and various services including turning, milling, and honing, systems integration and automation, and software and core component development for machine tools.
For what projects/services did your company hire GFAIVE?
We were struggling with the amount of unstructured data we received about our customers’ behavior, as we interact with them through various channels: phone, email, face-to-face. We wanted a data management tool that would both help us provide the best possible service and identify which customers would provide the greatest lifetime value for us.
What were your goals for this project?
We wanted a tool that would gather all the information about our customers from different channels and predict the net profit of our entire future relationship with each customer.
How did you select this vendor?
We spoke with the GFAIVE team over the phone and explained our problem. Afterward, they quickly developed a proof of concept, which showed us they understood our needs and had the necessary skills and experience to start the project. We also appreciated how they minimized our risk by not requiring payment until they delivered concrete results.
Can you go into detail about the services they provided and the scope of the project?
First, they developed a data processing pipeline and a prediction model based on data we’d gathered. By leveraging AI technology, they created a tool to provide insights into current and future customer behavior based on predictive analytics. From there, we quickly identified customers that needed our immediate attention and marketing tools that would reach them efficiently.
What was the team composition?
We interacted with an account manager, who worked with a team of data scientists and software engineers behind the scenes.
Can you share any information that demonstrates the impact that this project has had on your business?
We’ve acquired valuable information regarding that empowered us to approach our customers with the right product, at the right time, through the right channel. This has improved our relationships, increased our sales volume, and minimized the resources dedicated to analyzing customer information.
How was project management arranged and how effective was it?
We followed an agile development process, and GFAIVE delivered on their obligations quickly. They kept us updated via weekly phone calls, summary emails, and group Slack messages. We found this process effective, as we always knew what they were working on.
What did you find most impressive about this company?
Their professionalism, responsiveness, and frequent updates were outstanding. We didn’t have to worry about them. Additionally, they took time-upfront to understand our business and concerns. Finally, they provided a great price-to-quality ratio.
Are there any areas where they can improve?
Sometimes they used technical terms we weren’t familiar with when explaining their process. They should keep in mind that not all customers are familiar with technical AI terms.
the project
Development for Blockchain Solution
“They were willing to do whatever they could to benefit the project.”
the reviewer
the review
The client submitted this review online.
Please describe your company and your position there.
I’m the COO at ResoNova International Consulting, LLC. We’re a business consulting firm that specializes in emerging technologies. We guide new companies in leveraging cutting-edge technology tools to drive growth, and we work with existing companies to incorporate the new tools into their business processes.
For what projects/services did your company hire GFAIVE?
We were consulting for a client who needed assistance with blockchain development.
What were your goals for this project?
We wanted to meet our client’s requirements, prioritizing UX design and security.
How did you select this vendor?
We went through a discovery session with a few different development teams across the globe, but GFAIVE (formerly known as SmiChriSoft) was the only vendor to meet all of our criteria. We could tell that they were professionals capable of producing high-quality work on time and for a competitive price. We liked that they followed an agile development approach, which we use internally as well. Additionally, they accepted Bitcoin as payment, eliminating the hassle of sending money through international bank wire.
Can you go into detail about the services they provided and the scope of the project?
GFAIVE wrote an ERC-20 Ethereum smart contract for the solution. They also built a user login feature and integrated it with a third-party know your customer (KYC) provider, setting up an administrative panel to display key statistics. Based on that information, admin can manually accept or decline users as necessary. The GFAIVE team also implemented a token vending mechanism to accept payments and send custom tokens upon the confirmation of the payment receipt. On top of that, the team was responsible for designing the UX for both the user and admin interfaces.
What was the team composition?
We only interacted with the account manager, but there was a dedicated development team in the background.
Can you share any information that demonstrates the impact that this project has had on your business?
Their work helped us close our contract with our client. The smart contract passed an audit with flying colors. Another outside source reviewed the code behind the user login and token vending mechanism, and they were impressed.
How was project management arranged and how effective was it?
We used a joint Slack channel for day-to-day communication and scheduled weekly calls to discuss sprint updates. At the end of the project, we transitioned to quick 15-minute chats three times a week because needed to rapidly share feedback from our client to keep us moving forward. Overall, the GFAIVE team was both responsive and flexible. They expertly handled all of the changes we requested during the development process. They were willing to do whatever they could to benefit the project.
What did you find most impressive about this company?
We’re very impressed with the quality of their work. We’ve had their code reviewed by several outside parties, and all have reacted positively.
Are there any areas where they can improve?
They could improve their communication skills, but the few misunderstandings didn’t hamper our progress.
The model was delivered ahead of schedule and provided significant cost savings. GFAIVE’s developers displayed stand-out professionalism and dove into their work. This rapid start to the project contributed directly to its early delivery.