AINNA AI Logistics Roadmap

From a multi-platform ecommerce operator to an AI-powered Logistics Operating System for ecommerce sellers in Southeast Asia.

View Roadmap Investor Summary
✓ Founded in 2019
✓ RM 15M+ lifetime sales
✓ 80,000+ SKUs, ~9,000 monthly orders
✓ 30 active stores across marketplaces
✓ AI agents for pricing, stock, refund, courier, CS & fulfilment

Not just a store. Not just a warehouse.
AINNA is building an AI Logistics OS.

AINNA started as a real ecommerce operator with hands-on experience across marketplaces, thousands of SKUs, order volume, refund, cancellation, affiliate operations, supplier management and fulfilment. This roadmap transforms that operational experience into an AI system that can help other ecommerce sellers scale more efficiently.

Powered by AINNA NeuralOps - Our multi-model LLM infrastructure with Qwen, DeepSeek R1, GLM, Gemma, Llama, Mistral and Kimi K2.

01

Ainna Store

Cashflow

02

Ainna Logistics

Infrastructure

03

Ainna AI OS

Valuation

04

Ainna Data

Moat

05

ASEAN Seller Network

Long-term ambition

01

Ainna Store

Cashflow

02

Ainna Logistics

Infrastructure

03

Ainna AI OS

Valuation

Roadmap Timeline

Six strategic stages from data foundation to a broader platform ambition

Year 0–1

Core Data Layer

Unify order data, SKU data, supplier data, refund data, cancellation data, courier data, ads data, affiliate data, warehouse data and finance data into one intelligence layer.

True profit per SKU
Supplier reliability score
Cancel risk score
Courier performance score
Reorder recommendation
Dead stock alert
Cashflow forecast
Year 1–2

AI Agent Automation

Automate key ecommerce operation bottlenecks using AI agents powered by AINNA NeuralOps multi-model LLM infrastructure.

NeuralOps Models: Qwen (General Chat), DeepSeek R1 (Reasoning), GLM (Coding), Gemma (Classification), Llama (Long-Context), Mistral (Translation), Kimi K2 (Analysis)

Pricing Agent
Product Hunter Agent
Purchase Agent
Stock Risk Agent
Cancel Risk Agent
Refund Agent
Courier Agent
Affiliate Agent
Customer Service Agent
Finance Agent
Year 2–3

AI-Powered Logistics Centre

The logistics centre is not just a warehouse. It is a data factory. Every parcel, return and stock movement becomes a data point.

Barcode / QR per SKU
Bin location system
Pick-pack scanning
Courier sorting
Return inspection workflow
Live stock sync
Fulfilment dashboard
Year 3–4

SaaS Platform for Sellers

AINNA's internal system evolves into a platform for external ecommerce sellers.

AINNA Profit Dashboard
AINNA Fulfilment OS
AINNA AI Agent Suite
Revenue Model: Monthly SaaS subscription, Fulfilment fee, AI usage fee, GMV commission, Enterprise setup fee
Year 4–5

Cross-Border ASEAN Expansion

Scale from Malaysia to Singapore, Indonesia, Brunei and Thailand through ecommerce fulfilment and AI-powered operation layers.

Target Users: Malaysian sellers expanding into Singapore, Indonesian suppliers entering Malaysia, TikTok and Shopee sellers automating fulfilment, SME brands outsourcing ecommerce operations
Year 5–7

Long-Term Platform Ambition (5–7 yr)

AINNA aims to build network effects through sellers, suppliers, couriers, affiliates and data intelligence. This is a forward ambition, not a guaranteed outcome.

Data moat
Operational moat
AI workflow moat
Network moat

AI Agent Suite

Ten intelligent agents automating critical ecommerce operations

🔍

Product Hunter Agent

Discovers product opportunities based on market signals, supplier data, demand trends and margin potential.

💰

Pricing Agent

Recommends selling prices based on cost, platform fees, vouchers, shipping, ads and target margin.

📦

Purchase Agent

Suggests purchase quantity and reorder timing based on demand, stock movement and supplier reliability.

⚠️

Stock Risk Agent

Detects slow-moving stock, fast-moving stock, dead stock and stockout risk.

🚫

Cancel Risk Agent

Identifies orders with higher cancellation or failed delivery risk before loss happens.

↩️

Refund Agent

Analyses refund cases, detects patterns and identifies root causes of operational losses.

🚚

Courier Agent

Compares courier performance based on delivery speed, failed delivery rate and parcel reliability.

🤝

Affiliate Agent

Tracks affiliate and creator performance to identify which content, creator and product combination converts best.

💬

Customer Service Agent

Drafts accurate customer service replies based on order status, product policy and marketplace rules.

📊

Finance Agent

Helps reconcile payout, platform fees, shipping charges, cost, profit and cashflow.

AINNA NeuralOps Infrastructure

Multi-model LLM orchestration powering the AI Logistics OS with a local-first architecture and optional controlled external fallback

🧠 7 LLM Models

  • Qwen - Chat & Multilingual
  • DeepSeek R1 - Reasoning
  • GLM - Coding
  • Gemma - Classification
  • Llama - Long-Context
  • Mistral - Translation
  • Kimi K2 - Research
External API Cost (Estimated): RM 15,000–50,000/month
AINNA NeuralOps (Local): RM 0 token cost (API fee)

⚡ vLLM Engine

High-performance inference with optimized throughput.

Speed 500+ tok/s
Infrastructure Cost: RM 2,500–4,000/month

🎯 Neural Router

Intelligent routing selects optimal model.

Task Classification Model Selection Load Balancing

💰 🎫 Tokens

Local-first routing — optional controlled external fallback

✓ No per-token charges on local workloads
✓ Predictable infrastructure costs
✓ Data-locality by design
✓ Governed optional external fallback where required
7
🧠 Models
100%
💻 Local
$
🎫 Tokens
500+
⚡ Tok/s
Model Intelligence

Our NeuralOps Inhouse Asset

Auto-cycling evaluation of our sovereign LLM orchestra spider chart across 6 weighted dimensions.

Currently Evaluating Qwen auto-cycling...
NeuralOps Asset Score
0 / 100
Final Score = Accuracy × 0.25 + Task Fit × 0.20 + Speed × 0.15 + Cost × 0.15 + Safety × 0.15 + Low Edit × 0.10

Cost Savings & ROI

Comparing NeuralOps local inference vs external API costs, including GPU infrastructure amortization

External API (Monthly)

RM 15,000–50,000
  • Qwen API: RM 3,000–8,000
  • DeepSeek API: RM 2,500–6,000
  • GLM API: RM 2,000–5,000
  • Gemma/Llama API: RM 4,000–12,000
  • Mistral/Kimi API: RM 3,500–10,000
  • Rate limits & overage fees

AINNA NeuralOps (Monthly)

RM 2,500–4,000
  • NeuralOps subscription (shared H200 GPU cluster): RM 2,000–3,000
  • VPS + VPN: RM 300–600
  • Maintenance: RM 200–400
  • Token Cost: RM 0 API fee (local workloads)
  • Rate Limits: Managed internally

Monthly Savings

RM 12,500–46,000
  • Annual Savings: RM 150,000–552,000
  • Cost Reduction: 83–92%
  • ROI Period: 2–4 months
  • Data Privacy: Local-first by design
  • Scalability: Scales with provisioned infrastructure

North Star Metrics

Current operating snapshot and platform targets aligned with the pitch deck

Current · Ops
2019
Founded
Operating base established
Current · Ops
RM 15M+
Lifetime Sales
Operating-company commercial traction
Current · Ops
80,000+
SKUs Managed
Live operator inventory today
Current · Ops
9,000
Monthly Orders
Live order flow from operations
Current · Compliance
RM 325K
Zakat & Taxes
Compliance and social contribution
Target · Y5
10,000+
Sellers on Platform
SaaS + fulfilment network

Investor Narrative

AINNA started as a multi-platform ecommerce operator managing real operational complexity across product sourcing, pricing, fulfilment, cancellation, refund, affiliate operations and cashflow. Through this operational experience, AINNA is building an AI-powered logistics operating system that turns every order, SKU, parcel and return into business intelligence for ecommerce sellers.

TAM

RM 12B+

ASEAN ecommerce fulfilment & ops software spend (2026 est.)

SAM

RM 1.2B

Malaysia + Singapore SME sellers needing AI logistics OS

SOM (Y5)

RM 120M

10K sellers × RM 12K ARR (SaaS + fulfilment fees)

"AINNA is not trying to become another courier company. AINNA is building the intelligence layer behind ecommerce logistics."

View Full Pitch Deck Unit Economics Proof Request Investor Meeting

First 90 Days

Immediate execution roadmap

Week 1–2
  • Finalize positioning
  • Finalize roadmap narrative
  • Audit all data sources
Week 3–4
  • Map data from Shopee, TikTok, Lazada, BigSeller, suppliers, couriers and finance
  • Define dashboard structure
Month 2
  • Build SKU Profit Dashboard
  • Build Order Risk Dashboard
  • Build Warehouse Fulfilment Dashboard
Month 3
  • Launch Pricing Agent
  • Launch Product/Supplier Scoring Agent
  • Launch Refund/Cancellation Analysis Agent
Masli Yahaya - profile photo

Masli Yahaya

Technical Director @ AINNA | CTO

30+ years across engineering, enterprise IT, automation and systems development, now leading the technical architecture behind AINNA NeuralOps.

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