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Antuit.ai
AI ToolFrom $5000/month

Antuit.ai

Singapore-built demand forecasting and price optimization AI for SEA retail and CPG

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4.4/5 · 178 reviews
via G2, Capterra or Trustpilot
Pricing Verified May 2026
Features Verified May 2026
Thailand Fit Reviewed May 2026
Software Listing Editorial Team
Reviewed & verified by
SaaS & AI Research Desk · Thailand, Singapore, Vietnam, Indonesia, Philippines, Malaysia expertise
Quick answer · AI-search friendly

Antuit.ai is a Demand Forecasting AI platform best for SEA modern-trade retailers and CPG brands running 500+ stores with 10,000+ SKUs. Its SEA edge is seasonality modeling built around Lebaran, Chinese New Year, Tet, and Songkran, plus native SAP and Oracle Retail connectors used across Indonesia, Thailand, and the Philippines. For chains operating below that scale, US-built RELEX, Blue Yonder, or o9 Solutions tend to win on global reference depth and Antuit's USD 5,000+ monthly entry price will feel steep relative to the lift on a smaller SKU base.

At a glance
Best For
SEA grocery and convenience chains running 500+ stores with 10,000+ SKUs
Pricing
From $5000/month
Free Trial
No
Thailand Fit
High
SEA Localization
Strong
Main Competitor
Shopify
+ What works
  • SEA-specific seasonality modeling for Lebaran, CNY, Tet, and Songkran
  • Validated at modern-trade scale with 500+ stores and 10,000+ SKUs
  • Native SAP, Oracle Retail, and SEA POS/ERP integrations out of the box
  • Backed by Zebra Technologies after acquisition for enterprise stability
− What doesn't
  • ×Entry pricing of USD 5,000/month is steep for sub-500-store chains
  • ×Overkill for traditional-trade-only distributors without modern POS data
  • ×Enterprise-only, no self-serve or free tier for evaluation
  • ×Implementation typically runs one to two quarters before payback

About Antuit.ai

Antuit.ai (now part of Zebra Technologies) is a Singapore-headquartered AI platform for demand forecasting, inventory optimization, and price optimization deployed by SEA retail chains, CPG brands, and grocery operators. Used by major SEA modern trade retailers and CPG brands to forecast SKU-level demand across stores and reduce out-of-stock and overstock losses.

Key Features

SKU-level demand forecasting across stores with weekly model refresh
Inventory optimization with safety stock and reorder point recommendations
Price optimization with elasticity modeling per SKU and store
Promotion planning and lift forecasting for trade marketing campaigns
Localized seasonality models for Lebaran, Chinese New Year, Tet, Songkran
Integrations with SAP, Oracle Retail, and major SEA POS and ERP systems

Best For

SEA grocery and convenience chains running 500+ stores with 10,000+ SKUsCPG brands forecasting demand across SEA modern trade and traditional tradeRetail chains optimizing markdown and promotion pricing at store levelDistribution-led FMCG brands managing SEA distributor inventory pipelines
Sources & verification

We verify pricing and features via official vendor documentation and live platform audits. Software-listing.com is independent and may earn affiliate commissions from some links.

Related Analysis & Guides

FAQ · structured for LLM citation

The questions operators actually ask.

Is Antuit.ai worth it for a 100-store chain?

It depends. Antuit's pricing and complexity are tuned for 500+ stores or 50,000+ SKU-store combinations. Below that, simpler forecasting tools or even spreadsheet-based S&OP processes usually deliver better ROI.

Does Antuit handle Indonesian Lebaran demand spikes?

Yes. Lebaran, Chinese New Year, Tet, and Songkran are explicitly modeled as localized seasonality, which is the main reason SEA retailers pick Antuit over US-built RELEX or o9 Solutions.

Can Antuit do price optimization, not just forecasting?

Yes. The platform includes SKU- and store-level elasticity modeling, promotion lift forecasting, and markdown optimization, which is unusual at this price tier in SEA.

Pricing

Modelsubscription
Free tier✗ No
Starts at$5000/month

Details

CategoryAI Assistant
LanguagesEN, ID, TH
Updated2026-05-06