HYPERLAB

I am opening a multi-brand online store with international delivery.
I was hired HYPERLAB to develop a site from scratch.
To choose, I read a lot of reviews and looked through the cases of various development teams.
The new online store includes a web and mobile version, the function of a set of goods in the basket and an instant purchase from the catalog. Also, the visitor can postpone the product he liked or simply mark those positions to which he will return in the future. The site also implemented the function of comparing several positions and added video reviews.
I already made my first profit from the site, and part of the development paid off. I think my investment will pay off in full within a year. I think the price is justified for this quality of work.
A convenient directory has been created on the site both from the user's side and from the administrator's side. Personal accounts of users are protected by special encryption protocols.
It is difficult for me to give an assessment, since I have not contacted other companies and there is nothing to compare with. But I am completely satisfied with both the process and the result.

Our company provides logistics services and I am the director of the IT department. There are no specialists in the direction of data science in our team, so we decided to hire third-party developers for the project. In our business, it is necessary to collect and process a huge amount of information. Also, much of the data needs to be tracked in real-time. Instant statistical reports are often needed. All this is done for us by the architect data science.
Within the framework of one project, we had to implement two solutions. On the one hand, we needed a well-thought-out architecture that would fit into the existing automation of the company. On the other hand, a new mechanism for collecting, processing and storing big data was implemented for us. For these purposes, we hired a senior data science developer.
We got excellent tools for day-to-day work, planning and analysis. This allowed the company to reduce its operating costs, as well as eliminate unforeseen situations.
I'm very busy with internal projects, so I kept communication with the team to a minimum. In weekly meetings with the business analyst, we discussed the results achieved. I also made some adjustments to the requirements. This turned out to be enough to get a quality product.
Using a new algorithm for working with big data, we were able to track in real-time not only cargo in transit but also the transport of partners, as well as our suppliers. This took planning to the next level. We also completely eliminated downtime not only through our fault, but also through the fault of our partners. Now is the time to quickly find an adequate replacement.