Enterprise Resource Planning (ERP)

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3D modeling of jewelry products.

Enterprise Resource Planning (ERP)

One part to the set.

vanyapopoiluk
113 USD
Logo of NTVK “Ukraine”

Enterprise Resource Planning (ERP)

Logos

ars26061961
56 USD
Automation of supplier orders

Enterprise Resource Planning (ERP)

The processing removes the remains on the warehouses, calculates the average sales for the selected period and calculates the necessary amount for the order, taking into account the "assurance stock". Selection by suppliers and by nomenclature. There is the possibility to transfer to the "Supplier Order" or the "xls" file and mail to the mail or "ftp" (actually for the store network where the order is engaged by one person who is responsible for all the shops. and points).

reider111
Configuration of 1C from zero.

Enterprise Resource Planning (ERP)

Presented the work screen in the configuration "Account of the property and services". It was created a unique configuration 1C from zero under the business processes of the customer with the programming of all the ideas and desirable.

Andr_
1162 USD
AI Sales Operations Agent: n8n + PostgreSQL + OpenAI

Enterprise Resource Planning (ERP)

Built an end-to-end sales operations automation system for a field sales team
of trade representatives. The system eliminates daily manual work of preparing
routes, priorities, and targets — instead generating personalized AI-powered
briefings delivered to each rep's Telegram every morning at 8 AM.

symon_baikov
AI call analysis and analytics generation system

Enterprise Resource Planning (ERP)

Developed an automated AI system for processing and analyzing phone calls with subsequent analytics and reporting.

The system allows for automatic processing of audio calls, determining sentiment, category, and obtaining statistics in real-time.

… How the system works:
the system regularly checks for new calls
audio is automatically sent for transcription (AssemblyAI)
the received text is analyzed through AI
sentiment is determined: positive / negative / neutral
the category of the inquiry is determined
data is stored in a database and Google Sheets

AI functionality:
analysis of the conversation content
classification of calls by sentiment
determination of the inquiry category
AI agent for obtaining statistics on request
working through tool calling (obtaining accurate data without fabrication)

Analytics and automation:
counting the total number of calls
distribution by sentiment
statistics by categories
calculation of average call duration
ability to obtain reports for a period

Additionally:
automatic calculation of processing costs (OpenAI + AssemblyAI)
error handling system (logging in Google Sheets)
monitoring processing statuses (queue → processing → done)

Result:
fully automated call processing
obtaining analytics without human involvement
reduction of time for conversation analysis
ability to quickly assess the quality of communication with clients
control of expenses on AI services

Technologies:

n8n, Webhooks, AI Agents, OpenAI, AssemblyAI, Google Sheets, API integrations

mexal07
200 USD
Automation of Facebook Ads reports

Enterprise Resource Planning (ERP)

I created a fully functional AI agent on the Make.com platform that automates the reporting and strategic planning cycle for Facebook Ads. The system not only collects data but also acts as a "Junior Media Buyer," analyzing the effectiveness of creatives, comparing periods, and providing specific recommendations for scaling or optimizing campaigns.

Technological Architecture (Workflow)
The project is implemented as a seamless integration of several systems through Make.com:
… - Facebook Ads API: Direct extraction of raw data on campaigns, ad sets, and individual ads (Spend, ROAS, CTR, CPC, CPM, Conversions).
- Data Processing: prompts for comparing the current week's metrics with the previous one (WoW analysis).
- GPT-4o API (Brain): The AI model processes the received data array, identifying anomalies and trends.
- Market Intelligence: A module for analyzing market trends and the competitive environment to contextualize results.
- Reporting Engine: Generation of the final report and sending it to the client (Email/Slack/Telegram).

Key functionalities of the agent:
1. Deep ad analytics: The AI identifies "champions" and "outsiders" among creatives, analyzing not only raw numbers but also the logic of audience interaction with the content.
2. Comparative analysis (WoW/MoM): Automatic detection of the reasons for the decline or growth in effectiveness compared to the previous period.
3. Competitive context: Analysis of how current metrics relate to market standards and competitor activity.
4. Strategic Advice block: Instead of saying "CTR has dropped," the agent writes: "I recommend updating the visuals in campaign X, as audience burnout is observed, and reallocating 15% of the budget to ad set Y with a higher ROAS."

Business value for the client:
- Zero Manual Work: The marketer or business owner does not spend time on manual report extraction.
- Data-Driven decisions: Recommendations are based on mathematical analysis rather than intuition.
- Speed of response: A weekly cycle allows for timely detection of negative trends and saving the advertising budget.
- Transparency: The client receives a clear, understandable report in plain language, rather than a complex Ads Manager table.

#Make.com #make #FacebookAds #reports #ChatGPT #Gmail #Automation #AI #reports #facebook_ads #ai #Automation

yurii_kolesnyk
226 USD
Automation of content creation and auto-posting in social network n8n

Enterprise Resource Planning (ERP)

I created a system that automatically generates and publishes content on social media without human involvement.

The system itself finds relevant topics through RSS, generates the post text using AI, creates images, and publishes content on social media.

… Posts are automatically adapted for different platforms. After publication, all data is recorded in a table to track the results.

As a result, the client receives a fully automated content creation process without manual work.

illia_Meta
338 USD
AI agent for automatic client booking for haircuts (n8n)

Enterprise Resource Planning (ERP)

Project Goal
To automate client bookings for haircuts, allowing people to independently reserve time without the involvement of an administrator.

What Has Been Done
… An AI agent has been set up through n8n, which handles client requests and works with the schedule.

The agent can:

offer the client available slots

book the client for the chosen time

cancel the booking at the client's request

check time availability through synchronization with the calendar

All requests are processed automatically without the involvement of an administrator.

Result
The client received a system that allows customers to independently book haircuts at their convenience.
This has reduced the manual work of the administrator and simplified the booking process.

illia_Meta
2255 USD
Accounting for the restaurant business

Enterprise Resource Planning (ERP)

Accounting for the restaurant business

vitaliiluhovyi
1371 USD
Voice bot automation agent

Enterprise Resource Planning (ERP)

I designed and implemented a fully autonomous system for managing receivables, based on self-hosted, open technologies (opensource), which drastically minimized implementation and maintenance costs.

szymonszczechowicz
Integration of HubSpot CRM → ActiveCampaign based on deal stage

Enterprise Resource Planning (ERP)

1) Automatically launch email campaigns in ActiveCampaign when the deal stage changes in HubSpot.

2) Create an automation scenario in Make (Integromat) with the trigger "Watch CRM Objects". Add a router with filters to check the deal stage (hot lead, client, etc.).

… 3) Automate the launch of relevant emails at the exact moment when leads become hot or convert into clients. Reduced manual work for the sales team and accelerated deal processing.

ivan_kyslov