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Meta Reva
Platform Features

Explore smart product search, stock reservation, PDF statements, reconciliation, agent handoff and multi-tenant infrastructure.

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Primary product documentation

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01

AI-Powered Customer Assistant

Meta Reva identifies product, order, account and support intent in WhatsApp messages, then provides a governed response or hands the conversation to an agent.

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02

Smart Product Search

Product names, codes, dimensions, colours and attributes are matched against the catalogue with tolerance; uncertain results trigger clarification.

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03

Category and Campaign Management

Categories, campaigns and featured products from the ERP or catalogue source are turned into discoverable WhatsApp lists.

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04

Real-Time Stock Reservation

Inventory can be reserved atomically during cart and order workflows; expired or cancelled reservations are released safely.

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05

Automatic PDF Account Statements

Authorised statement data from the ERP is converted into a PDF, named safely and delivered to the relevant WhatsApp conversation.

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06

Automated Account Reconciliation

Account reconciliation messages are scheduled around the working calendar; approvals, rejections and statement requests are recorded as separate outcomes.

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07

Live Agent Handoff

Uncertain, critical or human-review conversations are handed to an authorised agent with context and a concise summary preserved.

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08

Department and Callback Management

Customer requests are converted into department notes, conversation summaries or callback tasks and recorded as operational work.

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09

Business Hours and Holiday Management

The system considers business hours and public holidays so automated replies, agent handoff and scheduled work follow the appropriate calendar.

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10

Multi-Tenant Company Management

ERP, catalogue, campaign, message-template and working-calendar settings for multiple companies are isolated by tenant on the same platform.

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11

Secure and Scalable Infrastructure

Message deduplication, rate limits, queues, timeouts and safe error handling work together to keep workflows controlled under load.

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