AI-Based Agent Management and Monitoring
Budget: $100 – $250 AUD
Use Case A: The Conversational WooCommerce ManagerInstead of relying solely on document drops, the agent acts as an on-demand, chat-based store manager. You or your staff can simply message the agent in natural language to execute catalog updates.The Input: You type a command into your Hermes chat interface or a connected Telegram bot (e.g., "Mark all nappies Size 4 nappies as Out of Stock" or "Update the retail price of Brand X toothpastes to $6.50").
The Reasoning: Minimax acts as the natural language parser. It reads your text, identifies the intent (Stock Update vs. Price Update), and extracts the exact product name and new value.
The Execution: Max Hermes launches the headless browser, navigates to the WooCommerce wp-admin dashboard, searches for the specific product, adjusts the inventory toggle or price field, saves the changes, and replies in the chat: "Done. CK Size 4 is now Out of Stock."Value: Instant, mobile-friendly catalog management without ever logging into the WordPress backend.
Use Case B: Mobile Invoice & Pricing Auditor (Telegram or Whatsapp/Drive Integration)Distributors handle physical paperwork daily. This turns every team member's smartphone into an instant pricing auditor without slowing down field operations or warehouse dispatch.
The Input: A staff member snaps a photo of a physical invoice or purchase order and drops the image into a specific Telegram chat (or a shared Google Drive folder).The Extraction: An n8n webhook catches the new Telegram image and routes it to your AI engine. Minimax's vision capabilities (or a local OCR tool) scan the image and extract the line items, quantities, and billed unit prices.
The Reasoning: The AI cross-references the extracted prices against your master wholesale database. It actively hunts for human error—e.g., a staff member accidentally invoicing a premium skincare product at a Tier 3 discount instead of Tier 1.The Execution: If the pricing is correct, the bot replies with a green checkmark . If it detects an error, the Telegram bot immediately replies to the image: " Pricing Error Detected: Line 3 was invoiced at $12.00. Master price is $14.50. Please correct before dispatch."
Use Case C: Bi-Weekly Retailer & Competitor WatchdogInstead of constant monitoring, the system runs on a disciplined, twice-a-week schedule to monitor the exact digital shelves where your products are sold.The Trigger: A scheduled cron job wakes Hermes up twice a week (e.g., Tuesdays and Fridays at 8:00 AM).
The Action: Hermes cycles through a predefined list of specific web pages (e.g., the "Organic Oral Care" or "Baby Products" category pages on target reseller and supermarket websites).
The Reasoning: Minimax scans the parsed page data to check your specific portfolio brands. It identifies if products are listed as "Out of Stock," if a retailer has unexpectedly dropped the price (MAP violation), or if your items have been buried on page 3.
The Execution: Hermes compiles these findings into a single, structured brief and pushes it to your inbox or Slack channel, giving your sales team a targeted hit-list of restock opportunities or pricing violations to address that morning.
The Reasoning: Minimax acts as the natural language parser. It reads your text, identifies the intent (Stock Update vs. Price Update), and extracts the exact product name and new value.
The Execution: Max Hermes launches the headless browser, navigates to the WooCommerce wp-admin dashboard, searches for the specific product, adjusts the inventory toggle or price field, saves the changes, and replies in the chat: "Done. CK Size 4 is now Out of Stock."Value: Instant, mobile-friendly catalog management without ever logging into the WordPress backend.
Use Case B: Mobile Invoice & Pricing Auditor (Telegram or Whatsapp/Drive Integration)Distributors handle physical paperwork daily. This turns every team member's smartphone into an instant pricing auditor without slowing down field operations or warehouse dispatch.
The Input: A staff member snaps a photo of a physical invoice or purchase order and drops the image into a specific Telegram chat (or a shared Google Drive folder).The Extraction: An n8n webhook catches the new Telegram image and routes it to your AI engine. Minimax's vision capabilities (or a local OCR tool) scan the image and extract the line items, quantities, and billed unit prices.
The Reasoning: The AI cross-references the extracted prices against your master wholesale database. It actively hunts for human error—e.g., a staff member accidentally invoicing a premium skincare product at a Tier 3 discount instead of Tier 1.The Execution: If the pricing is correct, the bot replies with a green checkmark . If it detects an error, the Telegram bot immediately replies to the image: " Pricing Error Detected: Line 3 was invoiced at $12.00. Master price is $14.50. Please correct before dispatch."
Use Case C: Bi-Weekly Retailer & Competitor WatchdogInstead of constant monitoring, the system runs on a disciplined, twice-a-week schedule to monitor the exact digital shelves where your products are sold.The Trigger: A scheduled cron job wakes Hermes up twice a week (e.g., Tuesdays and Fridays at 8:00 AM).
The Action: Hermes cycles through a predefined list of specific web pages (e.g., the "Organic Oral Care" or "Baby Products" category pages on target reseller and supermarket websites).
The Reasoning: Minimax scans the parsed page data to check your specific portfolio brands. It identifies if products are listed as "Out of Stock," if a retailer has unexpectedly dropped the price (MAP violation), or if your items have been buried on page 3.
The Execution: Hermes compiles these findings into a single, structured brief and pushes it to your inbox or Slack channel, giving your sales team a targeted hit-list of restock opportunities or pricing violations to address that morning.
Related categories:
PHP
JavaScript
WordPress
Software Architecture
Natural Language Processing
AI Chatbot
AI Development
AI Agents