ML & Data Science Consulting

Machine Learning, Artificial Intelligence, and Data Science Consulting to Enhance Your Solution

Incorporate data science solutions into your software to benefit from accurate predictions and make informed decisions on their basis. Benefit from our machine learning consulting to make your solution self-trained and adaptive to the changing environment. Ask for data science services if you’d like to disrupt your domain with high-tech software.

COMPANIES WE PARTNERED WITH
Captify
anyclip
ML & Data Science Services
Innovecs’ engineers are experienced in creating data science solutions for companies operating across different domains, such as ad tech, logistics, and healthcare. However, their vision is not limited to these realms. Our engineers start the project by investigating its goals and apply machine learning where appropriate.

PREDICTIVE ANALYTICS

Make informed decisions based on enhanced predictions

MACHINE LEARNING

Benefit from historical data, learn from it and forecast future trends

NATURAL LANGUAGE PROCESSING

Learn your solution for human-like interaction

DATA WRANGLING

Adapt your data for further analysis and modeling

DATA SCIENCE

Enhance your analysis with big data manipulations

PRIMARY TECHNOLOGIES WE USE
Java
Scala
python
hadoop
spark
apache ambari
TensorFlow
IBM Watson

LOOKING FOR A PARTNER IN BUILDING A DATA SCIENCE SOLUTION?

We are ready to discuss your project requirements. Just drop us a line.

INDUSTRIES THAT WILL BENEFIT FROM DATA SCIENCE CONSULTING

Data Science Services: Know Your Customer to Enhance Targeting

Optimize your digital marketing campaigns with the help of data science consulting.

Innovecs will help build a solution that improves customer targeting based on data analysis.

Backed by experience in machine learning consulting, Innovecs can deliver a solution that not only consolidates data from various sources but segments users, too. Based on this segmentation, advertising companies, supply- and demand-side platforms can make more accurate predictions of target audience behavior. As a result, this allows for revenue growth with lower advertising costs.

Data Science Solutions: Cut Your Logistics Costs with Better Predictions

Accuracy of predictions influences costs across different stages of supply chain and logistics.

For warehousing, you can reduce your stocks and increase inventory turnover by forecasting future demand trends.

For supply chains, you can optimize routing and deliveries by predicting what exact product, in what quantity, when, and where will be required.

Machine learning techniques will also optimize palletizing by combining not only similar products but packages of different sizes.

In the case of Innovecs, you will benefit from data science outsourcing because our expertise lies at the intersection of logistics and machine learning.

Machine Learning Consulting: Treat Your Patients Based on Grounded Data Analysis

Healthcare providers benefit from adapting first-class technologies in their daily work. Usage of algorithms based on machine learning is one of the modern approaches. Since patients are using wearables to collect their own vitals, the volume of data that can be utilized for estimations and predictions becomes enormous.

Data science solutions can enhance treatments or give alerts based on the current health state of a patient. Innovecs’ AI development team will help to create AI-driven assistants to support your patients. By outsourcing this to Innovecs, you will release a reliant software quicker than you will do it in-house.

RELATED POSTS
Warehouse Optimization Tips To Enhance Your Revenue Stream
Traditional warehouses (or distribution centers) have faced the need for transformation and warehouse optimization due to two driving trends. Firstly, there’s a shift in the nature of fulfillment and distribution: customers expect agile and highly responsive service. To meet the needs of sophisticated customers companies should optimize the collaboration of men and machines to create highly productive collaboration. Secondly, warehouse management is experiencing the boom of technological innovation. So, to lead the market, companies should get acquainted with the warehouse optimization tips applying solutions empowered by IoT, AI, autonomous vehicles, collaborative robotics, and other trendy techs. BusinessWire, a global leader in press releases distribution, estimated in 2021 that more than 80% of the warehouses have no automation at all. And 52% of respondent companies declared an expected increase in the investments for warehouse optimization. Reading this blog, you have a chance to be among the first companies, which are striving to reduce labour costs and start getting higher revenues. For example, InboundLogistics platform calculated that labour expenses covered about 65% of most warehouse facilities’ operating budgets. The potential of warehouse optimization is about this issue as well: to reduce expenditures and increase efficiency. Standing among the rows of the goods in the warehouse, it’s extremely important to answer the question, which will influence further strengthening of the company’s reputation, its capacity to fulfill customers’ orders or manage delays and returns. The question is whether business owners have optimized the warehouse to the extent the company was ready to cope with the current industry challenges.
#High Tech #Big Data & Highload #Article
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