Open to new roles · Forward-deployed engineering & applied AI

Applied AI · Digital Commerce · Global Delivery

I turn business problems into working AI — then scale it across the world.

Twenty years at IBM and Accenture building the platforms global enterprises run on: commerce, order management, and now agentic AI. I work where the value is — in the room with the business, and in the build.

See the work

Portrait of Aamir Niaz — NAME
Aamir Niaz
ROLE
Associate Director, Digital Commerce & Agentic AI — Accenture Song
BASE
Singapore · 1.35° N, 103.82° E

§ 00 Impact at a glance

years

building enterprise platforms at IBM and Accenture

B2B sales transacted

on a global Customer 360 platform I lead delivery for

warehouses

in 150+ countries on an order platform I architected

peak productivity gain

from an AI agent a two-person squad shipped in under two months

programme revenue

across 3 multi-year programmes solutioned, won and delivered

markets

running agentic merchandising in production

§ 01 Selected work

Three global programmes. Measured in results.

From an AI agent shipped in weeks to platforms that run businesses around the clock. Client names are withheld; the numbers are real.

Case 01 / 032026 — presentGlobal beauty & cosmetics leaderAgentic AI · Commerce operations

Merchandising Agent

Brand managers type a request in Microsoft Teams. An AI agent carries it out across storefronts and marketplace shops — in under a minute.

Role: Business Transformation Lead
Shape: Two-person squad · delivered in under two months
Client: Global beauty & cosmetics leader

30–85%

productivity gain

30% proven across operations; up to 85% in specific use cases

< 1 min

from prompt to executed request

e-boutiques live

Every market in scope

100+

marketplace shops live

Of 185+ in scope

Architecture · Merchandising AgentConceptual · animated data flow

Conceptual view of the components named on the project. Not a deployment topology.

The problem

Running direct-to-consumer commerce across markets took a lot of manual effort. Every merchandising change meant people working through storefront and marketplace back-offices, market by market, shop by shop.

What we built

A single conversational experience, built on OpenAI and Azure and living inside Microsoft Teams. A brand manager describes what they need; the agent executes it against Salesforce Commerce Cloud and the marketplace eShops.

OpenAIAzureMicrosoft TeamsSalesforce Commerce CloudMarketplace eShops

Why it was hard

22 markets, each with its own e-boutique
185+ marketplace shops in scope alongside D2C
10+ distinct merchandising operations automated
Built into the tool brand managers already use

Case 02 / 032023 — presentGlobal FMCG leaderEnterprise platforms · B2B commerce · Agentforce

Customer 360

One platform shared by customers and business teams — commerce, orders, service and trade promotions — live in every global region.

Role: Delivery Lead & account relationship owner
Shape: Cross-geography delivery team · rolled out to all global regions
Client: Global FMCG leader

1.2B+

B2B sales transacted on the platform

30%

productivity gain in self-service customer service

pending orders — the daily KPI

Held by autonomous order management

100%

of global regions live

Architecture · Customer 360Conceptual · animated data flow

Capability map of the platform. Integration details are intentionally omitted.

The problem

B2B commerce, customer development and supply-chain operations ran on inefficient, error-prone processes, with customers and internal teams working from different pictures of the same account.

What we built

A unified Salesforce Customer 360 platform with shared processes for eB2B commerce, order management, customer service and trade promotion management — now extended with Agentforce for autonomous order management.

Salesforce Commerce CloudSales CloudService CloudAgentforceOrder ManagementTrade Promotion Management

Why it was hard

Four business capabilities on one platform
Rolled out across every global region
Customers and internal teams on shared processes
From Gen-AI pilots to autonomous order management

Case 03 / 032013 — 2019Global 3PL logistics leaderDistributed systems · Supply chain

Global Order & Warehouse Platform

The order and warehouse platform behind 2,000+ warehouses in 150+ countries — unified, upgraded, and running 24/7.

Role: Solution Architect & Delivery Lead
Shape: Multi-year programme · SeLECT 2.0 and 3.0 releases · delivery across three regions
Client: Global 3PL logistics leader

20%

productivity gain on IT spend

From one process across all regions

100%

of customers migrated to the new platform

+10%

same-day order deliveries

With < 2 h and < 4 h ETAs

65+

large B2B customers served 24/7

2,000+warehouses

150+countries

3regions, one process

24/7operations

Architecture · Global Order & Warehouse PlatformConceptual · animated data flow

Conceptual grouping of the platform components. Not a verified deployment topology.

The problem

Every region had grown its own processes, so every region had its own solutions: fragmented, inconsistent and expensive to run for the large B2B customers that depended on them around the clock.

What we built

One global process on one platform, powered by IBM Sterling Order Management and Warehouse Management with J2EE services and MQ messaging — delivered through the SeLECT 2.0 and 3.0 upgrades.

IBM Sterling OMSIBM Sterling WMSJ2EEIBM MQ

Why it was hard

2,000+ warehouses across APAC, EMEA and the Americas
65+ large B2B customers in tech, aerospace and medtech
Around-the-clock operations across every time zone
Every customer migrated to the new platform

§ 02 How I work

Close to the business. Hands on the build. Eyes on scale.

The pattern behind two decades of work, and the reason forward-deployed roles fit me. Here it is on my most recent project.

01Understand

Sit with the people doing the work

Before any architecture, I want to see the friction first-hand: the manual steps, the workarounds, and the numbers leadership actually cares about. For the merchandising agent, that was 10+ recurring operations eating brand managers' time in every market.

02Prototype

Prove value in weeks, not quarters

A small squad with a working prototype beats a slide deck. Two people, under two months: one conversational experience where a brand manager types a request and sees it executed in under a minute.

03Scale

Engineer it for the whole world

Then the hard part: integrations, operating model, and rollout across markets, channels and time zones. The agent now runs across 22 e-boutiques and 100+ marketplace shops, with 185+ in scope.

§ 03 Track record

Twenty-four years of hard problems, across industries.

Manufacturing floors, hospitals, government, global logistics and consumer brands. Every programme taught me something the next one needed. Select a bar for details.

11 programmes · 5 industries · 2002 — today

Employer

NTUIBMAccenture Song

Public sector

Semiconductors

Healthcare

Logistics

Consumer goods

2026 — now

Merchandising Agent

Global beauty & cosmetics leader · Consumer goods

Agentic AI for merchandising across 22 markets, delivered in under two months.

Read the case study ↑

programme revenue50M+

Solutioned, won and delivered 3 large multi-year digital programmes at Accenture Song.

pipeline originated16M+

For a Japan–Southeast Asia corridor helping Japanese brands grow in the region.

new hires trained10+

Built an Agentforce capability team from fresh hires, from client POCs to complex delivery.

delivery excellenceFaculty

Train Directors and Managing Directors in growth markets on delivery excellence.

§ 04 About

At heart, a technologist.

Strategy only matters if it ships.

I've spent more than twenty years in consulting — seventeen at IBM, the last five at Accenture — and the part I enjoy most hasn't changed since day one: sitting with the business, understanding why something is hard, and building the thing that makes it easier.

I'm comfortable at both ends of the table. One hour it's a conversation with a CIO about where agentic AI will actually earn its keep; the next it's prompts, integration contracts, and a demo that has to work. Strategy only matters if it ships, and code only matters if it moves a number the business cares about.

That's why forward-deployed work suits me. The merchandising agent is the latest example: a two-person squad, under two months, and a result now running across 22 markets. Today I lead Digital Commerce delivery and Agentic Commerce initiatives for Accenture Song in Southeast Asia, and I'm looking for the next hard problem where AI meets real operations.

Toolbelt

AI & agents

OpenAI
Claude
Claude Code
Codex
Agentforce
IBM Watson

Commerce & CRM

Salesforce Commerce Cloud
Sales & Service Cloud
Adobe Commerce
commercetools
SAP Hybris
MuleSoft

Order & supply chain

IBM Sterling OMS
IBM Sterling WMS
IBM MQ
IIB

Cloud & engineering

Azure
AWS
J2EE
C#
Visual C++
HL7
Hyperledger

Manufacturing systems

MES
SiView
SmartTCS
Equipment integration

§ 05 Recognition

Recognised by the firms that know the work.

Awards from IBM and Accenture, formal study in computer science, manufacturing and AI, and a habit of staying certified.

Best Technologist
Accenture Southeast Asia
Recognised as the top technologist across Accenture's Southeast Asia market unit.
See it on LinkedIn ↗
Best of IBM
IBM
IBM's recognition for outstanding professional contribution.
General Manager Award
IBM
For leadership and contribution in 2004, delivering client value through integration and innovation.
2005
Client-win recognition
IBM
For contributing to a semiconductor CIM maintenance support win.
2005
Blue KITES leadership programme
IBM
Completed IBM's leadership development programme.
2013

Education

Master's, Computer Integrated ManufacturingNanyang Technological University · 2002 — 2004
Bachelor's, Computer ScienceGhulam Ishaq Khan Institute · 1995 — 1999
Executive Certificate, Engineering LeadershipNanyang Technological University · 2021
Artificial Intelligence (CZ3005)Nanyang Technological University · 2018

Certifications

Adobe Certified Expert — Adobe Commerce Cloud
Adobe Certified Expert — Magento Business Practitioner
Salesforce Certified Administrator
Salesforce Certified Platform App Builder
15+ professional badges, incl. Enterprise Design Thinking & Architecture Thinking

All verified badges on Credly ↗

I turn business problems into working AI — then scale it across the world.

Three global programmes. Measured in results.

Merchandising Agent

The problem

What we built

Why it was hard

Customer 360

The problem

What we built

Why it was hard

Global Order & Warehouse Platform

The problem

What we built

Why it was hard

Close to the business. Hands on the build. Eyes on scale.

Sit with the people doing the work

Prove value in weeks, not quarters

Engineer it for the whole world

Twenty-four years of hard problems, across industries.

Merchandising Agent

At heart, a technologist.

Recognised by the firms that know the work.

Best Technologist

Best of IBM

General Manager Award

Client-win recognition

Blue KITES leadership programme

Education

Certifications

Have a hard problem where AI meets real operations?