Skip to main content
G

Graas

Graas provides an integrated platform that combines AI‑driven conversational ordering with a unified commerce analytics engine. Its All‑e agent lets retailers and consumers place and manage orders via WhatsApp, web chat, or mobile apps while automatically syncing with ERP, CRM, and DMS systems, and Turbo consolidates sales, advertising, inventory, and marketplace data into a live data warehouse with drag‑and‑drop dashboards and natural‑language insights from hoppr.

Singapore, SingaporeFounded 202227210K+ followers
Updated 2 months ago

Funding

$9M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.

4OTM
Funding rounds are not available yet.

Founders

Product

Problem

Retail and eCommerce organizations struggle with fragmented sales, advertising, inventory, and order management data spread across multiple channels and systems, leading to manual reconciliation, delayed insights, and missed sales opportunities. Customer interactions on messaging platforms often require human intervention, causing slow order processing, errors, and low conversion rates.

Solution

Graas offers an integrated conversational and data platform suite that automates the full order lifecycle and unifies commerce analytics. The All-e conversational agent enables retailers, distributors, field agents, and consumers to place and manage orders directly through WhatsApp, web chat, or mobile apps, automatically validating credit, applying customer‑specific schemes, and syncing orders, invoices, and delivery status with ERP, CRM, or DMS systems in real time. Turbo consolidates sales, advertising, SKU, and inventory data from Shopify, Amazon, regional marketplaces (Shopee, Lazada, Tokopedia, etc.) and ad platforms (Meta, Google, TikTok) into a single, live data warehouse, providing drag‑and‑drop dashboards, product‑level analytics, root‑cause analysis, and marketing attribution without the need for spreadsheets or analysts. hoppr adds a natural‑language query layer that lets any team member ask plain‑language questions about revenue, campaign performance, or product trends and receive instant, AI‑generated answers, eliminating BI bottlenecks and enabling data‑driven decisions across the organization.

Target Audience

Primary customers are large‑scale retailers, distributors, and eCommerce brands operating across multiple marketplaces and advertising channels, as well as their sales, operations, and growth marketing teams that need automated order processing and real‑time analytics.

Features

  • All-e AI‑driven conversational ordering that identifies the user, pulls purchase history, credit limits, and active schemes, then validates, prices, creates orders, generates invoices, and tracks delivery—all within the chat interface
  • WhatsApp‑native ordering with no additional app required, supporting text and handwritten note conversion to structured orders
  • Real‑time ERP, CRM, and DMS synchronization for instant order visibility and zero manual data entry
  • Turbo’s unified data platform connects live feeds from Shopify, Amazon, regional marketplaces, and major ad networks, creating a single source of truth for sales, spend, and inventory
  • Custom chart builder with 80+ pre‑built metrics, drag‑and‑drop dashboards, and no‑code visualization sharing
  • Product analytics with SKU‑level GMV, returns, margins, and inventory velocity tracking across channels
  • Root‑cause analysis that instantly traces metric changes to stockouts, pricing mismatches, or ad overspend
  • hoppr’s natural‑language AI assistant that answers cross‑platform performance queries in multiple languages, providing instant insights without SQL or BI tools
  • Multi‑channel support (WhatsApp, web chat, mobile app, Messenger, API) and compliance‑first architecture with privacy‑first, globally compliant data handling
This profile is AI-generated and may contain inaccuracies.