Create an AI agent for inventory management

Budget: 15000 UAH Deadline: 10 days

Hello! I created an AI agent that pulls data from exports (Excel/BI export) and distributes purchases and transfers between warehouses according to individual rules. I have experience with QlikView exports, so we can start directly with your ready-made exports every 30 minutes. The main question is: are the conditions for 40+ suppliers already described in a table somewhere, or do we need to gather them with you along the way? This will affect the training time of the agent. The first working prototype is estimated to be ready in about a week.

Budget: 12000 UAH Deadline: 5 days

Ready to deploy an AI agent for inventory management in Telegram — it will read data from QlikView, respond to queries about stock levels, and generate reports on command.

The key here is the correct linkage QlikView → intermediate script on VPS → Telegram bot. QlikView delivers data in batches (snapshot every 30 minutes), so the agent will work with the current snapshot rather than a real-time stream — this simplifies the architecture and makes the bot stable even with large volumes.

- Data collection script from QlikView (export to JSON/SQLite on VPS)
- Telegram bot with commands: stock levels by product, movement over a period, low stock
- Connection of the AI agent for understanding text queries (“what is left in warehouse #2?”)
- Deployment on VPS, systemd service for uninterrupted operation

I created a Telegram bot for inventory management in a small warehouse — the bot responded to stock queries and sent alerts at critical minimum levels. It has been working reliably ever since.

I am currently completely free — I will take your project immediately and start today. Please provide the data format that QlikView currently delivers (API, file export, direct connection) — and I will draft a clear plan for the first stage. Expand

Budget: 2000 UAH Deadline: 7 days

Hello, I worked on the Warehouse Accounting Automation System — we integrated an AI agent for inventory management between 3 warehouses, reduced order processing time by 40%, and connected a Telegram bot for 8 employees.

I’m curious to know: do you plan to transfer data from QlikView to the agent via manual Excel export, or is there a possibility to set up automatic API access to the report every 30 minutes?

I suggest we get in touch; I will provide you with free technical consultation and we can create a development plan + I will tell you about my team!

Budget: 15000 UAH Deadline: 14 days

Hello, Vitaly! The task is clear. Regarding the architecture — I do not recommend building pure browser automation on top of QlikView (it breaks with any layout changes). Better: a Python core for calculating balances + LLM specifically for adapting orders to supplier conditions + confirmation of critical decisions by the manager in Telegram. Experience: production Telegram bots with a role model (aiogram 3.x), integrations with Claude API, data parsing, deployment on VPS 24/7. Please clarify: does QlikView provide data via API/schedule or only manual export? Is there documentation for the CRM API? Are the supplier conditions already in the table? I suggest starting with a pilot on 2-3 suppliers.

Budget: 27000 UAH Deadline: 20 days

Let's do it. I have a lot of experience, feel free to reach out, I will be happy to collaborate.

Budget: 15000 UAH Deadline: 14 days

Good day! I specialize in building AI agents based on Claude (Agent SDK / Cowork) - the very tools you are considering. I propose a pilot: I will deploy the agent on a VPS, set up data collection from QlikView (Excel export every 30 minutes), and train the agent on the individual conditions of 2-3 suppliers (processing times, logistics, minimum batches). I will add management through Telegram for several employees, create tasks in CRM via API, and auto-assign tasks to performers. The agent will generate orders for suppliers, suggest movements between warehouses, and set tasks by product groups (for example, cutting by lengths). After the pilot, we will scale to the remaining 40+ suppliers and an agent for sales analysis.

Budget: 18000 UAH Deadline: 14 days

Hello! I have extensive experience working with Python, databases, API integrations, and developing Telegram systems for businesses. I have significant experience in implementing similar solutions for process automation and analytics for enterprises.

The direct method you describe (a pure standalone AI agent clicking in the browser via Claude/OpenClaw) is impractical and critically dangerous for production procurement:

- Any change in layout or delay in QlikView will break UI automation.
- AI hallucinations in procurement/logistics pose a risk of miscalculating figures and freezing millions in incorrect goods from China.
- AI simply cannot calculate mathematical problems (length cutting optimization) accurately.

Instead, I propose implementing a hybrid approach:

- A reliable core (Python + DB): automatically (without a browser) retrieves Excel reports from QlikView and performs 100% accurate mathematical calculations of balances and cutting.
- AI (LLM): used solely as a communicator — adapts orders to the specific text conditions of each of the 40+ suppliers.
- Control (Human-in-the-Loop): AI does not send anything by itself. It generates a solution card in Telegram, the manager checks it with one click, and the system automatically creates a task in the CRM via API.

Since procurement and logistics have many internal nuances (for example, the API format of your CRM and specifics of working with China), this project requires individual calculation. I suggest moving to private messages to discuss these technical details further. After that, I can offer you several options for implementing a pilot with flexible timelines and budget that will fully fit within market frameworks. Please write. Expand

Budget: 25000 UAH Deadline: 20 days

We have experience in developing AI agents for warehouse logistics automation. We implement the solution through integration with your accounting systems for supply chain analysis and order processing time forecasting. This will allow for inventory optimization and minimize delays when working with suppliers. We are ready to discuss the architecture details.

Budget: 27000 UAH Deadline: 60 days

Hello. I have worked with documentation and warehouses at a machine-building enterprise and for a printing house; the cases are described in my profile.

Regarding your task:
- Does QlikView provide data only through the browser/export to Excel, or is there access to the database/scheduled exports? This significantly affects reliability.
- What CRM do you have, and is there documentation for its API?
- Are the ordering rules with suppliers formalized somewhere (timelines, minimum batches, logistics), or do they need to be gathered from scratch?

Budget: 3500 UAH Deadline: 14 days

Updating data every 30 minutes from QlikView means that the agent should work with a current snapshot rather than a real-time stream, simplifying the architecture. Deploy an AI agent based on the Claude API with an n8n workflow for orchestration: n8n will poll QlikView through browser parsing or export, pass the data to the agent, process its decisions regarding orders and mixes, and then send tasks to the CRM API and Telegram through separate nodes. A pilot with 2–3 suppliers will allow for the setup of prompt templates for each of their conditions, after which scaling to the rest will be a matter of copying the logic. Free support for 2 weeks after delivery—I will assist with configuring the agent for real data and clarifications in the logic. Ready to start.

Budget: 1000 UAH Deadline: 1 day

Good day, I am ready to complete your task quickly and efficiently. I have extensive experience in creating various bots. Please write to me in private messages to discuss the details. I will be happy to help :)