To date, in logistics and Soft Data there is a sufficient number of innovations that in one way or another reflect global demographic, technological and political trends. With their help, companies can more quickly and efficiently find partners in the supply chain, combine local competencies with global «economies of scale».

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of companies occupying leading positions in the industry, plan to invest in the creation of analytical models in the next 5 years.


zettabyte of data will be by 2020, according to scientists



Artificial intelligence technology allows you to order a product in just a few clicks - an automated system checks all available data to find the product or its counterpart.


Using the right equipment and optimized systems, real-time retailers keep track of where the goods are. It is also possible to compare planned and actual logical flows in order to respond in a timely manner to the incidents and planned deviations. The main goal is to increase the percentage of satisfied customers.

Inventory Management.

The use of machine learning processes allows employees to take a photo of the shelf with the goods, after which the AI finds flaws (incorrect location or absence of a certain product) and corrects them.

Interaction with consumers.

Machine learning technologies combine speech recognition with information about past purchases - the system quickly and accurately is able to respond to customer requests.


Research and Consulting

The specialists of our company help the client to try modern tools, technologies and concepts, to determine whether they are suitable for achieving their business goals.

Predictive and prescriptive analytics

We are provide the services of creating an analytical model for the calculation of market behavior, the available and necessary capacities and the position of your assets afterwards, which gives you the opportunity to quickly and reasonably take business-decisions.

Development of software for transport management

We create software solutions for transport management, which reduce costs and provide the best service for customers.

Expertise of VR and AR

VR engineers at Soft Data use in practice their knowledge of virtual reality software for logistics enterprises. We use both corporate applications with basic graphics, and complex simulated environments with a high-precision level of detail of objects.

What are we doing

Architectural and technological consulting
Automation of the processes of transport and logistics enterprises
Application integration.
Integrated logistics.
Transportation management
Warehouse management
Creation of a data warehouse and analysis systems
Improvement of forecasting processes, optimization of financial planning and budgeting
Portal solutions
Ensuring cyber security
Infrastructural solutions for improving the load of computing systems
Reengineering and movement of the existing solution for the development of interaction with customers
Integration with foreign and non-public systems, such as ERM and CRM platforms, as well as online payment systems
Market research
Software for management of parties and reserves
Solutions for processing and executing orders
Warehouse management software
Applications for asset monitoring (RFID and barcode)
Secure and reliable cloud solutions for logistics
Solutions for suppliers and acquisition management.
VR and AR applications for simulated environments
Analytics of data with machine learning and neural networks
Intelligent systems for automating administrative tasks
Individual creation of software and QA
System integration and management of applications
IT infrastructure management and cloud operations
Advanced analysis
Modeling of all possible risks
Real-time data processing
Blockchain solutions


Data analysis
Internet of Things (IoT)
Business Analytics (BI)

Data analysis


Improved routing is carried out in real time based on data about road conditions, available delivery windows.

Management of risks

Calculation and forecast of the probability of events that affect the stability of systems and processes.

Strategic planning

Foreseeing and planning the progress of the logistics network using neural network and media education technologies


Applying customer information to recommend a new product and services.

Proactive Logistics

Use of actions of clients for short-term forecast of demand and expedient division of production.

Operational planning

Short-term and medium-term improvement of resources and personnel

Machine learning

Foresight and planning of profitability and cost of delivery using machine learning algorithms.


Anticipation of accidents, based on the analysis of already obtained data on previous periods.

Computer vision

To ensure maximum security of areas that should not be caught by outsiders, stock control of the warehouse, monitoring of unloading of resources, identification of employees, data collection.

Speech recognition

for customer service.

Dynamic Pricing

Improved methods of analysis and modeling to control price strategies, a 20% increase in revenue from certain routes and services.


Improved inventory management

Increasing the effectiveness of inventory control ensures the safety of exported goods.

Supply chain

Supply chain control, used by artificial intelligence and Blockchain technology. Justification of the source of origin.


The use of digital technology for storing and exchanging data in real time, protecting against fraud and dealing with delivery errors..

Internet of Things (IoT)

Increase in the efficiency of warehouse tools

Sensors on conveyor belts and loaders can determine the required speed, load and throughput.

Control over the integrity of goods and packaging.

Tools for rooms with special categories of resources that require special storage conditions can independently monitor the temperature regime, lighting and humidity.

Monitoring the quality of service.

Monitoring of the delivery of goods to the client, accurate loading and proper sorting of goods.

Transport management.

The data going from the connected transport fleet can be analyzed to make forecasts that will automatically organize preventive work, adjust the load and prevent all kinds of breakdowns.

Business Analytics (BI)

Increase the efficiency of operations

  • Increase of «cleanliness» of operations
  • Development and improvement of used resources
  • Increase of efficiency of existing algorithms of actions

Relationship with customers

  • Increasing recognition from customers
  • Correct segmentation and individual approach to each client group
  • Progress in the development of communication channels.

Optimization of the product portfolio

Progress in increasing the level of availability of goods due to the rapid growth in the accuracy of forecasting consumption and the right mix of available products.

Optimization of purchases

Reducing the cost of acquisition due to the correct choice of supplier using stochastic models of total cost of ownership

Spare parts management

Anticipation and accurate forecast of possible equipment malfunctions to find the main causes of failure and reduce the costs of warranty service.

Optimization of the logistics network

Optimization of transport flows using competent warehousing and supply planning.

Optimization of supply

Increase in the accuracy of supply due to the use of rolling scheduling of supplies and reverse using a localized fleet of vehicles.

Management of risks

Analysis of possible risks associated with persistence in supply, rising costs and a decrease in revenue at points of sale.