AI Agent

Hello, Maxim! I am the manager of FullStack developer Valentin. We create custom SaaS products and automate business processes. Valentin has reviewed your task and immediately highlighted the main points. Here is his analysis:

"Maxim, the task is excellent, but it mixes two different entities: AI logic (market analysis, margins, and forming a winning bid) and classic accounting (GPS tracking, salaries, expenses). Putting salary calculations inside the neural network is risky, as AI can hallucinate numbers. Finances should be calculated using strict formulas on the backend, while AI should act as the "brain" for evaluating flights.

I have a lot of experience in FullStack, and I develop my own SaaS solutions. I suggest breaking the project into 2 quick phases so you don't overpay for a long-term build:

AI Tariff Module (MVP): We connect the Claude API (Anthropic). We write an agent that takes cargo parameters, checks them against your expense database, and provides the manager with a ready, economically justified rate.

Telematics and Finance Module: We integrate the API of your GPS provider (Wialon/custom). The backend in Python (FastAPI) retrieves clean mileage/geofences and calculates driver salaries and records expenses using strict formulas.
…
Since the project was published 12 days ago, you have probably already realized that embedding all this functionality in the initial 10,000 UAH "turnkey" is to get a non-working set of hacks. I suggest starting with the first phase (AI rate calculation agent), testing it, and then seamlessly scaling up the telematics."

Timeline and cost for the first phase (AI rate calculation):
Timeline: 5–7 days.
Budget: 15,000 UAH.

Maxim, which GPS provider do you have installed in your vehicles and in what format are expenses currently recorded (Excel, CRM)? Let's discuss the architecture in private messages; Valentin is ready to join.

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Good day. I am ready to take your project into work. I can develop this for you using n8n. Please write to me privately, and we will discuss all the details and choose the best solution for you.

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Good day, Maxim!

Honestly regarding the budget: 10,000 UAH for the AI agent for pricing + integration with GPS + driver control + salary + expenses — this is 5 systems in one. For this budget, a short technical survey can be done, but not a production-ready product. Therefore, I suggest scoping in phases.

Why you should listen to me:
– 4 production MCP servers + 20+ Claude Code skills in production (rare specialization — less than 200 freelancers in the world with shipped production MCP)
– property-comps-agent (github.com/volikablack/property-comps-agent) — a public TypeScript agent on the Anthropic SDK that generates a client analytical report from raw data. The same pattern "input data → business rules → structured output" as in your pricing
– payment-agent (github.com/volikablack/payment-agent) — Gmail → structured classification → Telegram digest. Relevant to automated operational events

… What I propose as Phase 1 — 35,000 UAH / 7 working days:
– pricing model (AI core: rules for price formation based on your data)
– integration scheme with GPS provider (clarifying API + detailed connection plan)
– user roles and basic data structure (Supabase Postgres)
– manager's cabinet prototype (Next.js + Tailwind)
– basic logic for salaries and expense accounting (structured records with audit-log like in my EMBODY CRM)

Output of Phase 1: working AI core + integration architecture + UI for the manager, where rules can be verified before expansion.

Phase 2 (full integration with GPS, payroll engine, analytics dashboard) — scope and price after Phase 1, when real rules and data structure are visible.

Two questions to get a clearer orientation:
1. Which GPS provider is being used?
2. Pricing rules — do you have examples of 5-10 trips with calculations that can be used to build the model?

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Good day! I can develop an AI agent for logistics automation: calculating rates and delivery costs, integration with a GPS provider for monitoring transport and drivers, as well as an expense tracking and payroll system. I will implement a user-friendly control panel, process automation, analytics, and AI logic for price optimization and order management. The project can be built in stages — first an MVP with key features, and then scale the system into a full-fledged platform.

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Hello! My name is Nikita. I have been implementing AI solutions in paid advertising and automating marketing processes for over 2 years, working with Google Ads, Meta Ads, and TikTok Ads.
✅What you get when working with me:
— AI-enhanced advertising strategy instead of chaotic launches
— automation of analytics and control of project economics
— systematic scaling based on data and AI tools
📈I work with projects of various scales and use AI for faster analysis of results, finding growth points, and optimizing advertising processes without unnecessary costs.
I am ready to discuss your tasks and offer a practical plan for implementing AI in your project's advertising.

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We already have a practically ready similar solution - it can be quickly adapted for an AI agent for bidding, GPS control, expenses, and payroll logic ))
We can discuss it here, I am available.

For the budget, I would estimate starting from 85,000 UAH for the first working phase of 30 days.
It will be more precise after checking the calculation rules and the capabilities of the GPS provider's API.

The AI agent should be designed not just as a chat for the sake of chatting, but as an operational assistant that takes data on routes, rates, expenses, drivers, routes, and forms a bid with an explanation.
Then we can add GPS deviation control, automatic payroll calculation, expense accounting, and a simple admin panel for the manager.

… What we will need from you - rules for forming bids, examples of 10-20 real transports, access to the GPS provider's documentation, driver payroll logic, and a list of expenses.

I would like to clarify 2 points.
- Which GPS provider is being used and does it have an API?
- Are bids calculated by km, type of cargo, route, downtime, weight, or are there other internal coefficients?

Similar cases from ingello.
- https://business.ingello.com/svitbus - logistics, booking, operational processes
- https://business.ingello.com/forma-bpm - business process automation and accounting
- https://business.ingello.com/fractal - AI automation and agency approach

The main landing page for the exchange - https://systems-fl.ingello.com/ua

We can keep the first launch simple - we create a working MVP, and then we scale up financial analytics and agent scenarios.
I am available (:--

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Good day. I am ready to complete this project as I have extensive experience in app development.

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Good day! I present to you a team of professional developers specializing in AI solutions for businesses! We will create a turnkey solution for you 🙌

An experienced team, ready to offer special conditions for you. Send me a private message, and I will show you our portfolio and website. I guarantee quality and fast work!

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Good day! Your task can be implemented as a single AI-driven logistics system, where the AI Agent not only calculates rates but also automates the entire workflow for transportation: from price calculation to expense and driver management.

From my side, this can be implemented in stages through a combination of AI logic, CRM/ERP automation, GPS integrations, and no-code/backend orchestration. In my experience, I have already built end-to-end automation systems, CRM analytics, AI qualification flows, and integrations through Make.com, CRM, and API services. Message me and we will develop a suitable automation together.

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Hello! Your project looks very promising. I am ready to start working on it and complete it at the highest level.

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Good day. According to your specifications — an AI agent for forming delivery prices, integration with a GPS provider for driver monitoring, payroll calculation, and expense accounting. This is a full-fledged logistics ERP with AI in pricing plus telematics integration.

Regarding the architecture, I see it this way. A separate pricing module — either rule-based when there is a clear tariff grid (weight, distance, type of cargo, region), or an ML regression model based on the history of past transports when tariffs fluctuate in the market. The AI agent on top — receives incoming requests, parses parameters, calls the price engine, provides a forecast with confidence, optionally offers to the operator or confirms automatically in simple cases. GPS integration — a separate fetcher to the provider's API (Wialon, Bitrix24 GPS, Navixy, custom?), normalization of tracks, calculation of actual mileage for reconciliation with the plan. Payroll and expenses — this is the CRUD part with payroll logic.

Two questions to provide an accurate estimate.

Which GPS provider is the integration with — Wialon plus REST, Bitrix24, or a custom solution on trackers? This determines how complex the GPS part is plus how complete the telemetry is there.

Regarding pricing — do you currently have a ready tariff grid that just needs to be digitized, or should the model learn from historical deals and real market prices? These are fundamentally different scopes of implementation.
…
Relevant experience — for the fourth year, I have been writing Python backends with integrations to dozens of APIs, there is a production AI project with prompt engineering and tool use. I see the stack for the project as follows: Python plus FastAPI plus PostgreSQL plus OpenAI/Anthropic for the prompt layer, a separate worker for GPS fetching, optionally a simple dashboard on React or a fully Telegram bot as an interface to start.

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The task is clear: a unified system is needed for the transport company — an AI agent generates quotes for transportation, GPS integration provides real-time control over drivers, and a financial module handles payroll and expenses. I have built similar integration systems with external APIs and automated business logic — I understand where the key challenges lie.

Approach: 1) AI agent for generating quotes — LLM (GPT-4o / Claude API) with context: distance, type of cargo, weight, route, market prices; the agent calculates the price and automatically generates a commercial offer. 2) GPS integration — connecting to your provider via API (Wialon, GPS-Logist, TeleTrac, or another): route tracking, deviations, mileage for calculating payments. 3) Payroll module — automatic calculation based on mileage/trips from GPS data. 4) Expense accounting — fuel, maintenance, per diems linked to specific drivers and trips. Stack: Python + FastAPI or Node.js, PostgreSQL, React/Next.js for the interface, or a Telegram bot if easy access from a phone is needed.

This is a multi-component project — to provide an accurate estimate of timelines and costs, a few details need to be clarified: 1) Which GPS provider is currently being used (is there API access)? 2) How many drivers and what types of cargo? 3) Is a web interface or a Telegram bot needed?

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Good day, Maxim.

I see you want to create a full-fledged AI system for logistics with automatic rate formation, transport control, and financial accounting.

I will implement a backend architecture where the AI Agent can analyze transportation parameters, calculate delivery costs, consider expenses, and automatically generate rates. I will also integrate a GPS provider for route control, status tracking, and driver performance.

Separately, a module for calculating driver salaries can be built, taking into account trips, mileage, expenses, and KPIs. I will make the structure scalable so that analytics, forecasting, or CRM logic can be added later.

To make a proper assessment, I need to understand:
… — which GPS provider is being used;
— how the rate is currently formed;
— where the accounting for expenses and salaries is done;
— whether there is already a CRM or ERP.

After this, I will be able to propose the architecture, stack, implementation stages, and an estimate for timelines and budget.

Let's discuss the details!

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Hello, Maksym!
The task is clear, but the project covers three complex business verticals: logistics (GPS), finance (salary and expenses), and pricing. Implementing such architecture qualitatively and stably in 1 day is impossible, as any failure in the logic of fund allocation or coordinate processing will lead to losses.
I suggest breaking the development into clear stages, using a flexible stack (n8n / Make + OpenAI API + Airtable / Retool). This will allow for a quick launch of the system without monthly overpayments for expensive custom software.
Here’s how I see the project implementation:
Stage 1: Database and pricing (MVP). Creating a structure in Airtable. Setting up an AI agent for flexible calculation of rates and delivery prices (considering mileage, coefficients, directions).
Stage 2: Integration with your GPS provider. Setting up Webhooks/API to receive vehicle coordinates. AI logic for monitoring drivers (recording stops, deviations from routes, downtimes).
Stage 3: Financial module. Automatic calculation of drivers' salaries based on GPS data (mileage/trips) and accounting for related expenses (fuel, depreciation).
What you will get as a result:
An automated ecosystem where the logistics manager sees the complete picture in a convenient admin panel, and the AI independently highlights risks related to drivers and prepares financial reporting.
… Real execution time: 7–10 days (depending on the readiness of your GPS provider's documentation).
Budget: I suggest discussing the final cost in private messages after we agree on the technical details and the scope of the first stage.
Which GPS provider is currently installed in your vehicles? I would like to familiarize myself with their API. Let’s discuss the details in the chat!

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Hello, Maxim!

I have developed a similar logistics control system.
Let's discuss the task in more detail and get started.

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Good day, I am ready to perform. Write to me in private to discuss in more detail.

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Ready to execute. Quickly and with quality. There are also bonuses after completion. Always in touch. Details in private messages.

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Hello.

I can create an AI agent for you on Claude. Write to me, and we will discuss.

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Hello!

I specialize in automating business processes and implementing AI agents. I work with n8n, Python, CRM systems, API integrations, and LLM (OpenAI, etc.). I help reduce routine tasks, optimize processes, and increase efficiency.

I am ready to quickly and efficiently complete your task. Let's discuss the details!

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Good day. I understand that creating a system for forming rates and prices for cargo delivery with integration with a GPS provider and payroll calculation along with expense accounting is quite a complex task. For this, it will be necessary to develop a special algorithm for price calculation, integrate the system with the GPS provider for monitoring drivers, and also create functionality for payroll calculation and expense accounting. What I will do: — develop a price calculation algorithm; — integrate with the GPS provider; — create functionality for payroll calculation; — develop an expense accounting system. Bonus: providing documentation for further use and support. Timeline: 14 days after receiving materials. Cost: 12,000 UAH. I would be happy to discuss the details.

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Hello, Max

I can create an agent or a group of agents for implementing the code.
I am already starting to think about the architecture.

Message me privately.

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