Dashboard for stores on Prom

Budget: 22000 UAH Deadline: 14 days

Hello, Andrii!

I read the technical specifications — the task is clear and technically fully aligns with my stack.

My relevant project: aiscreener.best — an analytical dashboard that automatically collects data via API (Binance/Bybit), stores history, calculates metrics, and sends notifications to Telegram. The same architecture — different data.

How I will implement your system:

Backend (FastAPI + Python):
— Connecting 10 stores via Prom.ua API (tokens are encrypted in the database, not in the code)
— Background synchronization via APScheduler: new orders + status updates
— History of status changes in a separate table
— Metric calculations: total/successful/unsuccessful/% success
— Forecast: how many cancellations are still acceptable before reaching 80% (moving average based on history)

Frontend (Next.js + React):
— Dashboard for each store + summary screen
— Charts of metric dynamics
— Filters: store / period / status
— "Risks" block highlighting dangerous stores

Notifications (Telegram bot):
— Drop in % success below the threshold
— Critical number of cancellations
— Risk of exceeding 80%

Stack: Python + FastAPI + PostgreSQL + Next.js + APScheduler + Telegram Bot API

Two questions:
1. How often is synchronization needed — once an hour or more frequently?
2. Are the Prom.ua API keys for all 10 stores already available? Expand

Budget: 27000 UAH Deadline: 35 days

Evaluation of the first working release - from 120,000 UAH, deadline - about 30-35 working days. The stack is fine - Python or Node.js for the backend, React for the panel, PostgreSQL for order history and metrics.

I would approach it not just as a page with graphs, but as a separate system for tracking metrics across 10 stores - collecting orders through the Prom.ua API, storing status history, calculating success rates, forecasting the risk of falling below 80%, notifications, and a general dashboard for the owner. Here’s the nuance - it’s important not to lose the history of changes, otherwise the analytics will quickly turn into a pretty picture without managerial benefit =)

I will clarify 2 points:
> Prom.ua API keys are already available for all 10 stores or they need to be issued and connected during the process
> Should the forecast be calculated only for the current period or is a model needed for past periods and cancellation dynamics?

Relevant examples from Ingello:
> https://business.ingello.com/prime-eva - e-commerce and systematic work with retail data
> https://business.ingello.com/eva - a project about scalable processes for retail and performance management
> https://business.ingello.com/forma-crm - similar in logic to the internal panel, roles, accounting, and analytics

Main page of Ingello for the exchange - https://systems-fl.ingello.com

From the client’s side, access to the Prom.ua API will be needed, rules for calculating successful and unsuccessful orders, a list of critical statuses, notification thresholds, and understanding - is the dashboard needed only for the owner or also for store managers? In general, the first stage can be kept simple - establish reliable synchronization, metrics, and alerts, and then expand the analytics without reworking the foundation. Better to measure seven times, because here the architecture saves money already in the second month of work. Expand

Budget: 27000 UAH Deadline: 30 days

Hello. I have extensive experience with React/Node.js. I am ready to implement the project.

Budget: 7000 UAH Deadline: 10 days

Let me break down the main point right away: this is not a "dashboard," but a data conveyor that should quietly and reliably pull orders from 10 Prom.ua accounts, keep a history of statuses, and not crash. The weak point of such systems is not the graphs, but synchronization: duplicates, status updates, and retries when the API returns an error.

I have already built this exact scenario. The store embody.com.ua is in my portfolio: order collection, statuses, custom admin panel, history, automatic Telegram notifications about orders with parameters, tokens only in ENV. The database is Postgres (Supabase). Separately, there is a public bot github.com/volikablack/payment-agent: it scans 10 mailboxes via API, retrieves important events, and sends a digest to Telegram – the same logic "API → structured collection → alert" applies here.

How I would do it: the backend pulls new orders and updates statuses on a schedule, keeps a separate history of changes (to see what and when changed), and protects against duplicates at the database level. Analytics – orders, successful/unsuccessful, success rate %, plus forecasting: linear extrapolation based on history shows how many more failures can be tolerated before falling below 80%. A dashboard with filters for store/period/status and a summary screen. Notifications in Telegram or email for risk and critical failure counts.

Stack according to your requirements: Node + Postgres, frontend React, tokens in ENV. Estimated timeframe – 10 days. I haven't touched the Prom.ua API itself – I will look at the documentation and confirm the timeframe exactly, but working with third-party APIs and this specific collection pattern is my specialty.

Two clarifications: 10 stores on one partner API key or separate accounts? Is the 80% threshold the same for all or specific to each store?

Budget: 27000 UAH Deadline: 21 days

Hello, I am a senior developer with over 10 years of experience. I used to sell products on Prom and Shafa myself, so I understand your pain when there are many stores. I can implement this for you at the highest level and within the deadlines. I have sufficient experience in both Python and NodeJS, and I have worked with Vue, which I would choose. I also have experience with PostgreSQL. I understand the essence of analytics, metrics, and graphs, and it’s better to choose Python for this, as there are good libraries for this purpose. Feel free to write, and I would be happy to discuss all the project details.

Budget: 20000 UAH Deadline: 14 days

Hello!
The task is clear — a dashboard for analytics of 10 Prom.ua stores with automatic synchronization via API.
My stack:
Next.js + TypeScript + PostgreSQL + Node.js (backend) + Prisma
What I will do:
— Connect 10 stores via Prom.ua API with secure token storage
— Automatic synchronization of orders + status updates
— Store the complete history of changes
— Analytics for each store separately + consolidated
— Dashboard with charts, filters (store/period/status)
— Forecast of metrics + how many unsuccessful orders are acceptable
— Telegram notifications when the success rate drops or the risk falls below 80%
— Scalable architecture
Ready to discuss the details! Expand

Budget: 2000 UAH Deadline: 7 days

Hello, I worked on an analytical dashboard for a network of 15 stores on Rozetka - I automated data collection through the API, created a forecasting and notification system, and increased management efficiency by 40%.

I’m curious if you plan to integrate additional metrics besides the basic performance indicators, such as average check or product returns?

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

Budget: 986 UAH Deadline: 1 day

I offer a platform for text uniqueness
6 UAH per 1000 characters

Textory — I’m sending a link to the service 🙌
👉 https://textory.com.ua/go/kFoMHu3N

Next, everything is simple:

1️⃣ Follow the link and register — it takes a minute.
2️⃣ In your account, open the "Import" section and upload your catalog — you can do it with a file (XML / Excel / CSV) or simply paste the link to your feed from Prom.
3️⃣ The system will immediately show the exact cost of rewriting based on your catalog.
4️⃣ Choose the style of descriptions (sales / neutral / technical) and start the processing — the AI will rewrite the descriptions uniquely while preserving the characteristics.
5️⃣ Download the finished file and upload it back to Prom — without edits.

If you have any questions, I’m always happy to help) Expand

Budget: 700 UAH Deadline: 1 day

Hello! I am ready to implement your dashboard: connecting 10 stores, automatic order synchronization, storing history, calculating KPIs, charts and filters, as well as notifications in Telegram. The tech stack is Python (FastAPI), PostgreSQL, React. Let's discuss the details and deadlines.

Budget: 3000 UAH Deadline: 3 days

Hello! I am interested in your project for developing a dashboard for Prom.ua stores. I have experience working with Python and building analytics/data processing systems. I will set up automatic updates of metrics and provide convenient reporting for store management. I am ready to discuss the system architecture and data transfer format. I look forward to collaborating!

Budget: 27000 UAH Deadline: 18 days

Hello! I have carefully studied the technical specifications. Building an analytics system for 10 Prom.ua stores is a great task that requires a reliable backend architecture. I specialize in developing such systems based on PHP 8.x / Laravel.

How I will implement this project:

1. Backend and integration with the Prom.ua API:
- To avoid limits and bans from Prom (error 429), I will set up a background task queue (Laravel Queue / Redis). Requests to the 10 stores will be executed gradually and safely.
- A PostgreSQL database will ensure reliable storage not only of current data but also of the complete history of order statuses for building graphs.
- Store API tokens will be securely encrypted in the database.

2. Analytics and forecasting:
- I will implement mathematical calculations of trends (moving average/statistical analysis) so that the system can calculate success forecasts and signal risks.

3. Dashboard (Interface):
- I will create a user-friendly and fast interface based on Laravel Blade server templates with lightweight JS charts (Chart.js). This eliminates complex frontend builds (Webpack/Vite), works instantly, and allows for easy scaling of functionality.

4. Notification system:
- I will set up integration with the Telegram Bot API for instant notifications if the percentage of successful orders at any of the stores falls below a critical threshold (80%).

Cost and timelines:
I estimate the development of such a system turnkey at 25,000 - 30,000 UAH.
Implementation period: 2-2.5 weeks.

My approach is clean, stable code and an autonomous infrastructure that does not require constant intervention. I am ready to discuss the details and start designing the database structure! Expand

Budget: 27000 UAH Deadline: 25 days

I can develop an analytics web service for 10 Prom.ua stores: connection via API, automatic order synchronization, saving status history, and a general dashboard for all key metrics. I will focus on convenient analytics for each store, overall summaries, filters, charts, and risk notifications to foresee a drop in the percentage of successful orders and critical indicators.

I am ready to discuss the API details, the logic for calculating success, and quickly propose the optimal option for the first version.

Budget: 12000 UAH Deadline: 21 days

I have over 3.5 years of experience in developing full-fledged web applications using the TypeScript, Vue/Nuxt, React/Next.js, NestJS, and PostgreSQL stack. I have worked on B2B e-commerce platforms where data collection and analysis through external APIs, building dashboards with graphs and filters, as well as setting up background tasks for data synchronization were critical.

For your project, I will implement a REST client for the Prom.ua API, a PostgreSQL schema for storing orders and their statuses, a background scheduler for data updates, and a React/Vue dashboard displaying key metrics for each of the 10 stores. Additionally, I will set up logic for predicting the risk of falling below 80% and notifications via Telegram or email.

I am ready to discuss the details: whether there are already API keys for all stores, what the priority is for notifications, and whether an admin panel is needed for managing connections. I can provide examples of similar solutions in private messages.

Budget: 5000 UAH Deadline: 5 days

Hello! My name is Yevhenii. I fully understand the pain of your project: monitoring the % of successful orders on Prom.ua is critically important to prevent stores from dropping out of the top ProSale listings. I have experience working with the Prom.ua API (authorization, webhook notifications, handling order statuses) and building dashboards using React + Python.

I will write clean backend code, set up automatic background data updates, and implement the mathematical logic for predicting the critical number of cancellations. Since I am currently actively building my rating and reviews on Freelancehunt, I am ready to implement this system for a very reasonable budget.

I am available to discuss the database architecture and your design preferences for the graphs in private messages!

Budget: 27000 UAH Deadline: 30 days

Hello. I read the specifications — the task is clear.

The stack I propose:
— Backend: Python (FastAPI) + background tasks via APScheduler for auto-synchronization
— Frontend: React + Recharts for charts
— Database: PostgreSQL (storing orders, statuses, change history)
— Notifications: Telegram bot (faster and more convenient than email for operational control)

What will be in the system:
— Connection of 10 stores via API tokens (secured, each token is stored separately)
— Automatic synchronization of orders + status updates
— Analytics for each store and aggregated: number of orders, % successful, trend, forecast, limit of acceptable failures
— Dashboard with filters by store, period, status
— Telegram notifications when the % of success drops or risks going below 80%

One question before evaluation: how often is data updating needed? Is once an hour sufficient or is near real-time (every 5-10 minutes) required? This affects the architecture and hosting costs.

Cost: 25,000 – 32,000 UAH. Timeline: 3-4 weeks.

Ready to discuss details. Expand

Budget: 5000 UAH Deadline: 2 days

Good day!

I am responding to the development of a web analytics service for 10 Prom.ua stores: order synchronization via API, change history, success metrics, forecasting, dashboard, and alerts in Telegram/email. The task is clear, the stack Python + PostgreSQL + React is suitable.

How I see the solution
Backend (Python, FastAPI):

- module for connecting stores (API tokens in secrets, encryption in the database);
- background synchronization (Celery + Redis or APScheduler): new orders, status updates, audit log of changes;
- normalization of statuses Prom → unified model (success / cancellation / in progress);
- REST API for dashboard: filters by store / period / status, summary by network and by store.
Database (PostgreSQL):

- shops, orders, order_status_history, metrics_daily, aggregates for quick graphs;
- indexes by shop_id, created_at, status.
Analytics:

- current % of successful orders over the period;
- forecast (linear extrapolation or moving average by day/week – we will clarify the formula from the technical specifications);
- calculation of "how many more unsuccessful orders are acceptable" before reaching the 80% threshold (inverse task from the target KPI).
Frontend (React):

- dashboard: KPI cards, graphs (Recharts / Chart.js), order tables;
- toggle store / all stores;
- "risks" block (highlighting drop below 80%).
Notifications:

- Telegram Bot + optionally email;
- rules: decrease in % of success, N cancellations within the window, risk < 80%.
Security: Prom tokens only on the server, HTTPS, roles (admin / viewer if necessary).

Experience relevant to the project:
- integration of REST APIs of marketplaces / CRMs, webhooks and polling;
- ETL + change history (who/when changed the status);
- dashboards on React: graphs, filters, aggregates;
- Telegram bots for alerts;
- PostgreSQL, background tasks, deployment on VPS/Docker. Expand

Budget: 2000 UAH Deadline: 1 day

Hello!

Analytical dashboards on the APIs of online stores are our specialized area, and the task is completely clear. We will implement it on your stack (Python + React + PostgreSQL), without third-party solutions.

What we will do:

- Connect 10 stores via the Prom.ua API: separate analytics for each + overall summary;
- Automatic synchronization on a schedule — new orders, status updates, saving change history;
- Metrics: total orders, successful, unsuccessful, % success rate, plus forecast and calculation of "how many more cancellations are acceptable before the threshold";
- Dashboard with graphs, statistics, and filters (store / period / status);
- Notifications in Telegram or email when the % success rate drops, critical number of cancellations, and risk of falling below 80%;
- Data history storage, API token protection on the server side, architecture with scalability in mind.

We constantly work with API integrations, background synchronization, and analytics — we will dive into the task quickly.

To start, we will clarify the availability of API access to all 10 stores. We will discuss details and costs in private messages. Expand

Budget: 12000 UAH Deadline: 10 days

Ready to fulfill the terms of reference without unnecessary words.

My portfolio: Freelancehunt

Budget: 27000 UAH Deadline: 30 days

Andrey, hello
For your project, the key is not the graphics, but reliable synchronization + storage of status history (otherwise the forecasts and risk alerts will be fake).

How I will do it:
- connecting 10 stores via Prom API (tokens stored securely in ENV)
- background synchronization: new orders + status updates + change history
- metric calculation: total/successful/unsuccessful/% success + "how many cancellations are still acceptable before

Budget: 16000 UAH Deadline: 7 days

Hello, Andrii!

For such systems, the main question usually revolves around the correct storage of order change history and the calculation of success metrics over time. This affects the accuracy of forecasts and risk notifications.

Our team specializes in developing internal business systems, analytical dashboards, and API integrations. We can offer the implementation of a centralized dashboard to link stores with automatic order synchronization, KPI calculation, performance forecasting, and a notification system.

Before providing an estimate, we would like to clarify a few points.
Is our understanding correct that the success metric should be calculated based on the actual order statuses from Prom.ua without manual adjustments from managers?
Is it necessary to maintain a complete history of status changes for each order for subsequent analysis and report generation for past periods?
Regarding forecasting, we are interested in the calculation logic. Is there already a specific formula used to determine the acceptable number of unsuccessful orders, or does this mechanism need to be developed as part of the project?
Also, we are curious whether the system is planned for internal use only or if separate accounts for employees with access restrictions need to be considered.

After the completion of work, we provide 14 days of technical support to monitor system stability and assist in adapting work processes.

We would be happy to discuss the project in more detail. Expand

Budget: 10000 UAH Deadline: 10 days

I can write a solution using Laravel, if that works I think I can fit something uncomplicated within this budget.

Budget: 27000 UAH Deadline: 25 days

Hello,
I recently created a CRM for the operation of several stores where products and orders are synchronized with Prom, so I already have templates for synchronization.
We can agree on the development of your functionality on an hourly basis, and launch something immediately so you can start working, while other features can be developed later.

Budget: 8000 UAH Deadline: 7 days

Hello!

I have extensive experience with the listed technologies (Node.js, Python).
I am ready to complete the assigned task.

I suggest we discuss the details in private messages.

Budget: 1000 UAH Deadline: 1 day

Good day. I am an individual developer with over 4 years of experience in Python/Node.js full-stack development, setting up PostgreSQL databases, and integrating automated systems through third-party APIs. I work officially through a sole proprietorship, ensuring direct transparent communication without intermediaries and managers, and I guarantee full compliance of the system with your technical requirements. I will independently write the backend for data collection from 10 Prom.ua accounts, develop a secure storage for tokens in the .env configuration file, deploy a user-friendly Dashboard on React with flexible filters and charts, and set up a Telegram bot for instant notification about the critical success rate of orders.

Budget: 10000 UAH Deadline: 10 days

Hello. Our small team has been designing business solutions, backend engineering, and comprehensive integration of marketing and trading APIs for over 4 years. The task of building a multi-user analytics dashboard for a chain of stores on Prom.ua fully aligns with our profile, and we guarantee the development of a clean fault-tolerant architecture using Python, PostgreSQL, and Vue/React. We will create a fast interface with interactive charts to monitor order success, write scripts for calculating cancellation limits before rating drops, and integrate risk notifications in Telegram. The initial analysis of the technical task and the construction of the data model will take 2 working days, and we will offer a transparent fixed budget for each completed stage of development. You can check the quality of our work at the following links: freshagro.com.ua, farfieworldwide.com, rivnekolo.com.

Budget: 2000 UAH Deadline: 2 days

Good day. My colleague and I have been specializing in product web development, database refactoring, and building secure internal analytics services for over 4 years, so the task of automating Prom.ua cabinets is completely clear to us. We will carry out all the work through a secure staging environment based on Node.js (NestJS), PostgreSQL, and React: we will design a modular system that will allow easy scaling of the service in the future (adding new stores or marketplaces). We will set up minute-by-minute synchronization of order statuses, a separate screen for comparing the overall summary analytics of all 10 points, and custom triggers that will analyze the percentage of successful transactions and send critical notifications via email or Telegram in case of mass customer refusals. We will need up to 48 hours for the initial study of the Prom API documentation regarding tracking unsuccessful orders and architectural planning, and examples of our technical expertise are presented in the portfolio: drkukharevich.rivne.ua, crave-agency.com.ua, jk-solution.com.ua.

Budget: 4000 UAH Deadline: 2 days

Hello. My partner (designer + full-stack developer) and I have over 4 years of experience in creating commercial web applications, analytics systems, and logistics automation for e-commerce. We are ready to develop a turnkey analytics system for your 10 Prom.ua stores strictly according to your stack: Backend in Python (FastAPI/Django) and Frontend in React. We will develop an asynchronous cron module that will automatically collect orders via the Prom API, considering the limits on the number of requests (rate-limits), and will store all change history in a PostgreSQL database with reliable API token encryption (AES-256). On the React dashboard, we will implement graphs with filters by stores and periods, output a mathematical model for calculating success forecasts and acceptable cancellation rates, and connect a Telegram bot via webhooks for instant notifications about the risk of the rating falling below 80%. We will need 1-2 days for the initial database architecture design and studying the Prom API methods, and our engineering approach to building reliable analytical systems is reflected in our portfolio: hyperfi.tech, espressolab.com.ua, hudi.com.ua.

Budget: 18000 UAH Deadline: 14 days

Hello. I have experience in developing analytical systems and integrations via API. I can implement a dashboard for 10 Prom.ua stores with automatic order synchronization, history change storage, performance metrics calculation, risk forecasting, and notifications in Telegram/email. It is optimal to implement it using React + Python (or Node.js) + PostgreSQL with the possibility of further scaling and connecting new stores without reworking the architecture.

Budget: 18000 UAH Deadline: 21 days

Good day!
I read the technical specifications = the task is clear:
a dashboard for analytics for 10 Prom.ua stores with automatic order synchronization, charts, and Telegram notifications about risks.

Right away regarding the stack - I propose exactly what you specified as desirable:
- Backend: Python (FastAPI) + Celery for background order synchronization
- Frontend: React + Recharts for charts
- Database: PostgreSQL - order history, store tokens, change logs

I would like to clarify 2 points:
1) Data updates - how often do you need synchronization: every 15 minutes, once an hour, or in real-time via webhook if Prom.ua supports it?
2) Notifications - only Telegram or do you also need email?

Here’s what I will do:
1) FastAPI + Prom.ua API: connecting 10 stores via tokens, automatic order loading on a schedule through Celery Beat
2) PostgreSQL: storing order history, statuses, and changes - for trends and forecasts
3) React dashboard: charts by stores and summaries, filters by period/store/status, a forecast block, and allowable cancellations
4) Telegram bot: notifications when the success rate drops below the threshold and the risk of exceeding 80%

A similar project in my portfolio: SaaS AI analytics - FastAPI + PostgreSQL, automatic data collection and analysis through an external API in real-time.

Cost: from 18,000 UAH / Timeline: 21-28 days.

I can start this week. Please answer the 2 questions - and I will prepare a detailed plan.

— I create websites and web applications that deliver results · Denys Ivanchенко Expand

Budget: 2000 UAH Deadline: 3 days

Hello! Your project caught my attention. I am ready to start working and ensure high quality execution.

Budget: 15000 UAH Deadline: 14 days

Good afternoon!

The key in such systems is not to "pull data live every time the dashboard is opened," but to properly organize data collection and storage. I will do the following:
A separate background process periodically polls the Prom.ua API for each of the 10 stores, retrieves new orders and status changes, and stores everything in its PostgreSQL database. The dashboard then reads from the database — this is why it works quickly and does not hit API limits even with 10 stores simultaneously. The history of status changes is stored separately, allowing for forecasts and visibility of dynamics, not just the current snapshot.

Regarding the forecast of metrics (how many more unsuccessful orders are acceptable before falling below 80%) — this is calculated from historical data, so the database with history is critical; without it, forecasting is impossible.
Notifications about risks (drop in success rate, critical number of cancellations) — a separate process that checks metrics against thresholds and sends alerts via Telegram or email when something goes beyond limits.

The stack for the task: React + TypeScript for the dashboard, Node.js for the backend and background data collection, PostgreSQL for storage. Store tokens are stored encrypted. The data collection worker runs as a separate process via PM2 on the server.

The Prom.ua API provides statuses, amounts, and payments for orders — this is fully sufficient for the analytics of success and forecasts you mentioned.

One question: do you need notifications in Telegram, via email, or both options? Expand

Budget: 20000 UAH Deadline: 10 days

Hello! Our team has been specializing in the development of complex web applications and turnkey analytical dashboards for over 4 years. The project for developing a dashboard for Prom is our core task, where we will combine sound e-commerce logic with thoughtful UI/UX design of interfaces. We will develop an architecture that will collect information through the marketplace API, structure it, and present it in the form of understandable interactive tables and charts. We guarantee high data loading speed, security of access token storage, and adaptability of the dashboard for any screens.

Budget: 25000 UAH Deadline: 10 days

Hello! I will complete your task quickly and efficiently.

My recent works
https://indexfast.pp.ua - fast website indexing
https://mono-bank.pp.ua - everything about Monobank
https://mamamia.pp.ua - online store
https://programist.pp.ua/ua/portfolio/ - portfolio of works
https://monitortest.pp.ua - monitor testing
https://keytest.pp.ua - keyboard testing
https://pctest.pp.ua - computer testing

My portfolio: https://freelancehunt.com/ua/freelancer/romas6ka.html#portfolio
Message me, I will start working today. I look forward to collaborating with you! Expand

Budget: 27000 UAH Deadline: 25 days

Hello, Andrii!
I will create an effective dashboard for your stores on Prom that will allow you to track key performance indicators and make informed decisions for further business development.
The exact price and deadlines will be provided after clarifying the details.

Profile: Freelancehunt
Reviews: Freelancehunt

Budget: 15000 UAH Deadline: 10 days

Hello.
I can implement using the listed stacks. I have successful experience in creating dashboards. I am ready for a detailed discussion of the metrics and performance indicators that need to be displayed, design, and the necessity of server support.
I am currently available, let's get started immediately.

Budget: 10000 UAH Deadline: 14 days

Hello, interesting task, I can implement it, I have experience in writing several dashboards for tire fitting, for the jewelry business, and for online booking.

I will connect a library for you so that the statistics for all stores and for each one separately are displayed in the graphs. This way, you will clearly see which products are sold, in which stores, what the margin and turnover are for each store, product category, and product. And all this will be in real time.

In 1-2 days, I will provide a dashboard layout, we will agree on what should be included and where it should be located, and then there will be work with the server and API integration.

I write in Node.js, React, and PostgreSQL/MongoDB.

The final results will be adapted for both mobile and PC, with a public link.

I work on an hourly rate for this project.

It's an interesting project, thank you for this opportunity. Expand

Budget: 10000 UAH Deadline: 10 days

Good day, I have been in web programming for over 9 years. I work with REST APIs, frameworks, and CMS such as Django, Laravel, Yii2, WordPress, OpenCart, CodeIgniter, etc. I am ready to complete the task. Reviews: Freelancehunt

Budget: 10000 UAH Deadline: 10 days

Hello, I will gladly do it. Message me privately to discuss.

Budget: 11111 UAH Deadline: 30 days

Good afternoon, Andrey.

10 Prom stores without any analytics is always "blind management," where it is difficult to understand where profits are actually falling and why the percentage of successful orders is declining.

You have just described a task where not only data collection is important, but also a system that proactively shows the risk of deteriorating metrics.

Here’s how I would approach the implementation:

— Connecting all 10 stores via the Prom API with separate and aggregate data aggregation
— Building a database with order history and status changes (so that dynamics can be analyzed, not just current figures)
— Developing a dashboard with key metrics: orders, success rate, cancellations, KPI drop forecasts, and risk zones

Additionally:
— A notification system in Telegram/email when metrics fall below specified thresholds
— Filters by stores, periods, and statuses for quick analysis of the reasons for declines

I have already created similar analytics systems with API integrations and dashboard building using Python + React, where the key task was business logic (not just data visualization). Such projects usually yield maximum effect when there are predictive metrics, not just "facts for today."

Before starting, I would like to clarify:

— Is real-time (almost instant updates) needed, or is scheduled synchronization sufficient?
— Are there already accesses to all 10 Prom accounts and API tokens?

If that’s okay — I can propose an optimal architecture for scaling and provide an estimate for timelines/costs for the MVP. Expand

Budget: 10000 UAH Deadline: 1 day

Hello!

We can create a dashboard for you with analytics and automatic data synchronization for Prom stores.

1. Is separate analytics needed for each store and a summary screen?
2. Which notifications are more important first: Telegram or email?

—
About us

We are dZENcode – a full-cycle IT development company: from design and programming to integrations and post-release support of digital solutions. We create projects from scratch, as well as connect to existing solutions that need refinement, development, or technical support.

You can find detailed information about our services and rates on our official website: Freelancehunt

Take a look – after that we can discuss the details and agree on the next step.

⚠️ After clarifying all the details, we will determine the scope of work, the suitable format of cooperation: task-based, outsourcing, or outstaffing – and the final cost.

With us, projects are guaranteed to reach release:
• 10+ years providing IT services;
• 90+ in-house specialists;
• 250+ public reviews since 2015;
• We support products under SLA after launch;
• We work under NDA and contract with the company! Expand

Budget: 1000 UAH Deadline: 1 day

Good day! I have extensive experience in synchronizing products and orders with prom via API. I can implement this dashboard on Laravel. Feel free to contact me, and we will discuss all the details.

Budget: 9000 UAH Deadline: 21 days

Good day. I have experience in developing web systems using Python and PostgreSQL. I can implement integration with the Prom.ua API, collect and analyze orders, and create a dashboard with graphs and notifications. For an accurate estimate, I would like to clarify: is there a ready-made interface design and is deployment on a server needed? I am ready to discuss the details.