Technological tasks
The Tech-tasks module is tasks related to the development, implementation and improvement of new technologies, products and processes. If you have development, implementation and other needs you can post information below.
Automation of partial refunds in restaurant aggregator integration
Currently, partial refunds (missing item, marriage, and resortment) are processed manually: the amount and reason are agreed upon between the partner and the aggregator through correspondence or calls. This creates delays in customer compensation, discrepancies in reporting, and does not scale with the growing number of partners. The project involves the development of an integration that automatically receives data on order items requiring a refund, calculates the amount based on the type of problem, notifies the client and partner, and records the operation in a log for subsequent reconciliation. The solution is planned to be tested in a pilot mode at 1-2 points before scaling to the entire partner network.
Decision acceptance deadline
11.09.26 (inclusive)
Preferred systems
автоматизация процессовNumber of applications
9
Stock Managers' KPI Calculation Dashboard (Power BI)
Automate the calculation of bonuses for stock managers.
Decision acceptance deadline
10.09.26 (inclusive)
Preferred systems
Neurotechnology and artificial IntelligenceNumber of applications
6
Development of an intelligent food demand forecasting system
The creation of a demand forecasting system, which, based on historical data on sales, seasonality, prices, stocks, balances and other factors, will determine the expected demand for food products. The system should generate forecasts and recommendations on the volume of production, purchases and stocks of products.
Decision acceptance deadline
10.09.26 (inclusive)
Preferred systems
Intelligent control systemsNumber of applications
8
Development of an intelligent system for searching and analyzing information in video archives
Creating an artificial intelligence-based system capable of automatically analyzing large volumes of video archives, recognizing speech, identifying participants, highlighting key topics, and finding specific fragments based on a user's text query. The system should allow you to search for the necessary information without having to manually view the entire video archive.
Decision acceptance deadline
10.09.26 (inclusive)
Preferred systems
Intelligent control systemsNumber of applications
6
Development of a system for predicting technical malfunctions of cars
Creation of an intelligent system capable of predicting the probability of malfunctions of individual components and assemblies based on vehicle operation data. The system must analyze data on mileage, operating modes, maintenance, sensor readings and fault history and make predictions about the need for diagnosis or maintenance.
Decision acceptance deadline
10.09.26 (inclusive)
Preferred systems
Intelligent control systemsNumber of applications
4
Development of an intelligent automatic document analysis and classification system
Creation of an artificial intelligence-based system capable of automatically recognizing, classifying, structuring and analyzing documents of various formats, extracting key information from them and identifying discrepancies between documents.
Decision acceptance deadline
10.09.26 (inclusive)
Preferred systems
Intelligent control systemsNumber of applications
6
AI service for generating descriptions of dishes
We need a web service that generates a selling description of a dish for a card in a food marketplace based on the menu item (name, category, ingredients).
Decision acceptance deadline
10.09.26 (inclusive)
Preferred systems
Other technological solutionsNumber of applications
10
Embedded knowledge base with contextual hints
We need an embedded knowledge base module for the partner restaurant's web cabinet: a section with article guides (working with a tablet, printer, menu, finances), and a search for them. The goal is to provide self—service to partners and reduce support requests.
Decision acceptance deadline
09.09.26 (inclusive)
Preferred systems
Other technological solutionsNumber of applications
6
AI module for automated quality assessment of managers' work
The module should automatically analyze the content of the manager's consultations with clients, compare the actual dialogue with established sales and service standards, and form an objective assessment of the employee's work quality.
Decision acceptance deadline
09.09.26 (inclusive)
Preferred systems
Digital Security TechnologiesNumber of applications
10
Development of a module for automatic recognition and diarization of Russian-Kazakh speech with the formation of a structured transcript
As part of the project, it is necessary to develop a software mechanism that provides automatic processing of audio files without the need for manual pre-markup. The decision should accept an audio recording of the dialogue between the two speakers, including one recorded in the same audio channel, and generate a structured text result. The module's functionality should include: 1 Audio input file processing — reception and preprocessing of audio recordings, including normalization and selection of speech fragments. 2 Speech detection — automatically detects sections of an audio recording containing speech, eliminating or minimizing the effects of pauses, background noise, and non-speech fragments. 3 Diarization of two speakers — automatic detection and separation of the remarks of two participants in the dialogue, even when using single-channel recording. 4 Speech Recognition (ASR) — speech to text conversion with support for Russian and Kazakh languages. 5 Mixed speech processing (code-switching) — correct recognition of fragments in which the speaker switches from Russian to Kazakh and vice versa. 6 Formation of a transcript is the creation of a text file with sequential markup of replicas by speaker, timestamps of the beginning and end of each speech fragment and, if necessary, an indication of a specific language. 7. Preserving the structure of the dialogue is to ensure that the order of the text phrases corresponds to their actual sequence in the audio recording. 8 Result quality control — achievement of targets: accuracy of diarization — at least 90%; speech recognition accuracy is at least 85%. 9 Result formatting — providing a transcript in a structured format suitable for further analysis, storage, processing and integration with other information systems. 10 Integration capability — implementation of a software interface or other standard mechanism for transferring results to third-party systems and applications.
Decision acceptance deadline
07.09.26 (inclusive)
Preferred systems
Neurotechnology and artificial IntelligenceNumber of applications
7
