Интеллектуальный анализ данных

Auto-notification system for inventory replenishment analytics. On 8n8. Small automation for e-commerce. Once a day, the system calculates the sales velocity for each product and sends a message in Telegram indicating when to reorder (with the recommended quantity) and how many days the remaining stock will last. What we do: Data retrieval: KeyCRM API (order history) + stock/orders from Rozetka (API or export) Storage in SQLite on my VPS (Contabo, Linux) Calculation of average sales, days of stock, reorder point ABC analysis: prioritization of which product to replenish first (class A — main by revenue — more important) Daily Telegram bot + cron job All thresholds (lead time, safety stock, target stock) — in the config

Hello! I need to visually customize the InvenTree system (open-source) for a coffee shop project presentation. A complex backend and integration with the cash register (POS) are not required — the external redesign of the interface is important to show the difference between "Before / After". Project stack: Python (Django) + React (Mantine UI). What needs to be done in the interface: Custom branding, Renaming in the sidebar menu and tables, Cleaning forms from engineering fields, Setting up one recipe for "making" a drink (for example, Cappuccino), so that when manually deducted from the warehouse, all ingredients are visually subtracted, adding functions in the form of additional reports, and explaining the principles of the changes made. We will discuss all specific details in person. Requirements for the performer: Experience with Django and React (Mantine UI). Ability to complete the task quickly — the project is needed for a presentation. We work through Safe (Secure transaction). In your response, start with the word "COFFEE", so I know you read to the end. Please provide your timelines and price.

It is necessary to develop an application or script that will automatically convert files from YML or JSON formats to XLS format, with subsequent generation of a link to the output XLS file for promotion. Requirements: Input data: A file in YML format (links will be provided) or A file in JSON format (links will be provided, JSON does not contain a category tree, but each product is in a separate array). Output data: A file in XLS format accessible via a direct link. The file must be updated automatically on a schedule, for example, daily. Functional requirements: The ability to specify the number of days for Availability on order for each input link. The application must operate reliably under resource-limited hosting conditions. An intuitive web interface for managing settings is desirable.

A small adjustment is needed in the program that generates print orders. Task: We have added to the assortment soft glass with print. In the orders, the name of the print will be highlighted with the symbols #...# for correct recognition. Example: Soft glass, #White abstraction# 2.0mm, Shape: Rectangle... Requirements: If the text of the order contains a fragment between the symbols #...#, the program should recognize it as an order with print; when generating a PDF or print sheet, such an order needs to be highlighted in a different color (any noticeable color, to be agreed upon during execution); the rest of the program's logic should remain unchanged. An example of the order is attached below for testing.

About the project: We are launching a B2B service for end-to-end analytics and advertising campaign management for targeters and media buyers. The product will work with the official Meta API. The main technical challenge and focus of the project is the virtuoso handling of Facebook limits, traffic routing between our application pool, and a robust infrastructure protection system against the blocking of gray advertising accounts. We already have a detailed technical specification, the database architecture is described, the load balancer logic, and interface requirements. We are looking for a contractor who will take this for turnkey implementation (backend + frontend dashboards). What needs to be done (Key tasks): Integration with Meta API: Set up user authorization and regular asynchronous parsing of advertising account statistics. Requests should be sent exclusively in batches to save limits. Auto-unlinking system for accounts: Write a module that continuously monitors the statuses of advertising accounts. If an account gets banned, the system should automatically revoke the access token within 60 seconds to protect our application from Meta sanctions. Proxy infrastructure: Implement tunneling of all API requests through a SOCKS5 pool. A strict binding of a specific user token to a static IP address is mandatory. Smart routing: Create an algorithm that will distribute bindable advertising accounts among several of our Facebook applications in specified proportions to reduce risks. Interface development: Create a client dashboard with a summary statistics table and an advanced admin panel for manual management of user limits, application bindings, and proxy pool. Expected technology stack: Backend: Python, FastAPI. Asynchronous tasks: Celery, Redis. Databases: PostgreSQL (or ClickHouse for statistics, at your discretion). Frontend: Vue.js or React (you can use ready-made UI libraries and dashboard templates, focusing on functionality rather than complex design). Requirements for the contractor: Confident experience with Meta Graph API and Marketing API. You should understand how sliding limits work, how to read load headers, and how to work with tokens. Understanding the specifics of traffic arbitration. The words "billing," "account ban," "business manager," and "farm" should not raise questions for you. Experience in building asynchronous parsers and working with proxy servers at the network request level. Willingness to work according to a clear technical specification and deliver the project in stages. Conditions: Collaboration format: Project work Budget: Discussed individually based on your assessment of the technical specification. Payment: Staged, tied to checkpoints. How to respond: In your cover letter, be sure to indicate your experience with Meta API, attach links to similar projects (or describe their functionality if they are under NDA), and provide an estimated price range and timeline for developing such a system from scratch. Responses without a description of relevant experience with Facebook API will not be considered.