Price: 0
Number of applications: 8
09.04.26 (inclusive)
Contractual. Payment is based on the results of the assessment of the Terms of Reference and the approval of the stages.
Idea
ICT tasks
Food industry
Other technological solutions
Software/ IS
In modern food production and the FoodTech segment (especially in the production of food rations and B2B supplies), there are three critical issues that directly affect the profitability and security of the business: The gap between accounting and production (Inventory Gap): Standard accounting systems (iiko, etc.) are often overloaded with intermediate levels of semi-finished products. This leads to "littering" of the warehouse and incorrect write-off of raw materials. As a result, the actual stock balances do not match the data in the system, which makes it impossible to accurately calculate the food stock in real time. The "human factor" and operational losses: The lack of strict weight control at the packaging stage leads to systematic overweights (losses of the enterprise) or underweights (customer loyalty and fines). Chefs manually calculate the "Gross" proportions./Net/Exit" when scaling applications, which inevitably leads to errors in the ingredients tab. Personalization and security risks: When working with individual diets, data on customer allergies and exclusions is often lost when transferred from CRM to the kitchen. Manual control of stop lists in conditions of high production rates is extremely unreliable, which creates direct risks to consumer health. Lack of transparency and evidence base: The business does not have the tools for operational visual control of what exactly and in what volume was packed in a particular container. This makes it difficult to handle complaints and prevents the implementation of automatic quality control (AI) systems. The problem being solved: Creating a tool that will transfer these processes from "manual" control to an automated digital cycle, eliminating staff errors and ensuring "honest" labeling and transparent warehouse accounting.
The implementation of the project will allow achieving significant results in three areas: economic, operational and technological. 1. Economic effect (reduction of Food Cost): Minimization of cost overruns: Due to strict control of the "green corridor" of weight, systematic overruns of expensive raw materials are eliminated (up to 5-7% of monthly budget savings). Write-off accuracy: Automation of the L-bottom → L2 transition eliminates the accumulation of "virtual" balances and inventory gaps, which allows you to get an honest food value in real time. 2. Operational effect (productivity growth): Acceleration of packaging: Automation of calibration processes and visual cues ("Photo-etalon") reduce the assembly time of a single ration by 15-20%. Reducing the burden on accounting: Automatic generation of preparation certificates and invoices in iiko frees up to 30% of the working time of the accountant-calculator. Zero Error: The system of blocking printing in case of weight or composition violations reduces the risk of the "human factor" to a minimum. 3. Marketing and reputational effect: Customer Safety: Direct transmission of allergen data from CRM to the label guarantees product safety for the end user and increases brand loyalty. Brand transparency: The formation of an "honest" label with a complete composition of raw materials increases customer confidence and meets the most stringent labeling standards. 4. Strategic Effect (Scalability): Creation of a FoodTech product unique to the market of the Republic of Kazakhstan with the potential to scale according to the SaaS model for other manufacturing enterprises using iiko. An AI-controlled architecture will make it possible in the future to occupy a niche in high-tech production with minimal human involvement in quality control.
Zhakupov Marat
Purpose and description of task (project)
Development and launch of the MVP version of the "Gross-Net Control" software module, designed for deep automation of packaging production facilities based on the iiko system. The main goal is to eliminate the human factor in layer—by-layer weighing, ensure automatic accuracy of inventory write-offs and introduce a system of "honest" labeling of finished products. Description of the task (project): The project was initiated by a practicing calculator technologist based on an analysis of real operational losses in food production. It is required to develop a solution that will link iiko's production logic, hardware (scales) and customer data from CRM into a single continuous cycle. Key functionality for implementation: Integration layer: Recursive traversal of iiko process maps through the API to obtain the composition of dishes up to the level of basic raw materials (L-bottom). Production management: Formation of interactive packing tasks based on a "Menu Plan" (B2C) or "Customer Orders" (B2B) with automatic calculation of weight parameters (Gross/Net/Exit). Hardware control: Direct data acquisition from the scale (RS-232/USB) and control of the external display ("Traffic Light" via USB relay) for visual confirmation of the weight tolerance. Automation of accounting: Generation of cooking certificates in iiko in real time with direct write-off of ingredients, which eliminates the accumulation of incorrect residues in intermediate warehouses. Labeling and personalization: Label printing (individual or batch) with automatic formulation and consideration of allergen/exclusion data pulled from amoCRM. Architectural features: The system should have a modular architecture with embedded "hooks" for the future implementation of a video recording system (AI control) and data transfer to cloud storage. It is necessary to support a local database to ensure uninterrupted operation of the workshop with an unstable Internet connection. Expected result: Ready-to-implement software (MVP) that correctly interacts with the iiko API and peripheral equipment. Full transfer of exclusive rights to the source code and technical documentation to the customer.
Note
A detailed Technical Specification has been prepared, which will be provided to the contractor after the initial call.