AI Automation: Deploying a Multi-Channel Conversational & Marketplace Agent

Automation Stack & Architecture:

• Agent Framework: Functional Tool-calling Agent (Role + Goal + Behavior prompt-based logic).
• Integration Layers: Chat Widget API / Messaging Channels (Telegram, WhatsApp); Marketplace APIs (Wildberries nmID, Ozon Catalog, Avito Pro_status check if available); CRM Integrations (Bitrix24, amoCRM).
• Target Outcome: 24/7 autonomous sales consultation, lead capture in CRMs, and direct marketplace inventory management.

Agent Roles & Tools Assignment:

• Sales Consultant Bot
  • Persona: Professional consultant acting as the first point of contact on websites/chat-widgets.
  • Goal: Consult clients, accept requests, and transfer qualified leads to CRM.
  • Tools assigned: Chat widget interface; messaging channels including Telegram and WhatsApp.
• Marketplace Manager Agent
  • Persona: Inventory and catalog specialist.
  • Goal: Direct product/price ownship or updates without human intervention via specific identifiers.
  • Tools assigned: Wildberries price update tool using `nmID`; Ozon catalog integration; Avito connection forgetting 'Pro' tier access permissions.
• Data Processing Specialist
  • Persona: Analytical assistant capable of routine reporting tasks.
  • Goal: Extracting data from tables, processing it through a neural network (LLM), and generating conclusions/drafts while avoiding manual repetitive report cycles.
  • Tools assigned: Access to external databases such as CRMs (`Bitrix24`, `amoCRM`), spreadsheets, and knowledge bases.

Step-by-Step Workflow Orchestration:

1. Trigger any contact attempt via chosen channel: Chat Widget, Telegram, or WhatsApp.
2. The agent executes its programmed prompt containing the defined [Role + Goal + Behavior].
3. Agent evaluates context to decide if waypoints need function calls like updating prices on Wildberries (via nmID) or adding items.
4. Upon successful interaction completion, lead details are routed directly into either crm_bitrix24() OR crm_amocrm() functions for storage.

Error Handling & Loop Prevention / Quality Control:

• Human-in-the-loop validation: For tasks involving complex decisions or final outputs, use an approval gate where a human checks the AI's draft before sending/finalizing.
• Verification Gatekeeping: Apply automation only to tasks that allow easy error detection; focus ownworkable logic such as grouping requests rather than high-level strategy without oversight.
• Data Integrity Checkset: Ensure all data is centralized in CRM and tables prior to deployment so agents do not fail due to fragmented knowledge (`blocknot` vs `head`).

Bottom Line: Sales continue autonomously while you sleep by delegating repetitive consultation enough notice of errors via manual check gates으로 scaling your business operations.

! DYOR (Do Your Own Research)