Aamir Niaz
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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 to identify the value, and the execution to deliver the outcomes.

See the work
Aamir Niaz in 2004Aamir Niaz in 2015Portrait of Aamir Niaz
2021Accenture Song
NAME
Aamir Niaz
ROLE
Associate Director, Digital Commerce & Agentic AI — Accenture Song
BASE
Singapore

§ 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.

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

22

e-boutiques live

Every market in scope

100+

marketplace shops live

Of 185+ in scope

Architecture · Merchandising AgentConceptual · animated data flow
Merchandising agent architecture (conceptual)Brand managers in 22 markets reach the agent two ways — conversational prompts through Microsoft Teams, and bulk updates uploaded as brief files into Adobe Workfront, which routes the queued tasks to the agent and receives back processing results and task updates. The agent, built on OpenAI and Azure, automates 10+ merchandising operations and executes them in Salesforce Commerce Cloud across 22 D2C e-boutiques directly, and routes marketplace updates through a channel-management platform that publishes to marketplace eShops such as Lazada and Shopee (185+ in scope, 20+ live), returning the result in under a minute.promptintentbriefstasksresultsexecuteroutepublishresult · under 1 minute22 marketsBrand managersdescribe the changeInterfaceMicrosoft Teamsconversational UXWorkflow toolAdobe Workfrontbulk brief filesAgent layerMerchandising agentOpenAI · Azure10+ operations automatedD2C storefronts22 e-boutiquesevery market livePlatformChannel managementpublishes listingsMarketplaces20+ eShops Pilotof 185+ in scope

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.

  • OpenAI
  • Azure
  • Microsoft Teams
  • Salesforce Commerce Cloud
  • Marketplace 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

0

pending orders — the daily KPI

Held by autonomous order management

100%

of global regions live

Architecture · Customer 360Conceptual · animated data flow
Customer 360 capability map (conceptual)B2B customers and internal business teams share one Salesforce Customer 360 platform covering eB2B commerce, sales and customer development, customer service, order management and trade promotion management. Agentforce drives autonomous order management. The platform is rolled out to every global region.ExternalB2B customersorder · self-serve · trackInternalBusiness teamssales · supply chain · serviceUnified platform · SalesforceCustomer 360eB2B commerceCommerce CloudSales & customer developmentSales CloudCustomer service · self-serviceService CloudOrder managementAutonomousTrade promotion managementTPMRolloutAll global regionsone platform, one processAI agentsAgentforcedaily KPI: 0 pending orders

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 and Azure AI for intelligent order extractions.

  • Salesforce Commerce Cloud
  • Sales Cloud
  • Service Cloud
  • Agentforce
  • Order Management
  • Trade 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 now 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

The journey · fragmented → unified → at scaleAnimated · each dot ≈ 10 warehouses
From fragmented regional processes to one global order platform at scaleBefore: APAC, EMEA and the Americas each ran their own process and solutions. After: one global order journey — B2B EDI integration, IBM Sterling OMS, A2A messaging, IBM Sterling WMS and same-day shipping with under 2 and 4 hour ETAs. At scale: 2,000+ warehouses in 150+ countries, 65+ B2B customers, 24/7, with 100% of customers migrated, 20% IT productivity and 10% more same-day deliveries.01 · BeforeEvery region, its own process02 · AfterOne global order journey03 · At scale2,000+ warehouses · 24/7APACEMEAAmericasFragmented processes, fragmented solutions— costly to run for 65+ B2B customersorder → delivered · < 2 h / < 4 h ETAB2B EDIOMSA2A MQWMSSame-dayOne process on one platform · SeLECT 2.0 → 3.0+10% same-day deliveries · 20% IT productivity150+ countries · APAC · EMEA · Americas100% of 65+ customers migrated
Architecture · Global Order & Warehouse PlatformConceptual · animated data flow
Global order and warehouse platform (conceptual)65+ large B2B customers exchange orders and status with the platform through a B2B EDI integration layer. IBM Sterling Order Management orchestrates orders and talks to IBM Sterling Warehouse Management over A2A messaging (MQ) between J2EE services, running 2,000+ warehouses across APAC, EMEA and the Americas in 150+ countries.B2B EDI integrationA2A MQ · J2EE servicesordersstatus65+ customersB2B clientstech · aerospace · medtechOrchestrationIBM Sterling OMSone global order process24/7 · every regionExecutionIBM Sterling WMSunified processesSeLECT 2.0 → 3.02,000+ warehouses · 150+ countriesRegionAPACwarehousesRegionEMEAwarehousesRegionAmericaswarehouses

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 a B2B EDI integration layer for customers and A2A messaging over MQ between J2EE services — delivered through the SeLECT 2.0 and 3.0 upgrades.

  • IBM Sterling OMS
  • IBM Sterling WMS
  • B2B EDI integration
  • A2A MQ
  • J2EE

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.

Understand: 10+ manual operations (Every market, every shop, by hand). Prototype: One agent. One conversation. (2-person squad · < 2 months · < 1 min per request). Scale: 22 markets · 100+ shops live (185+ marketplace shops in scope). AI agent

§ 03 Career

Two decades, two firms, one habit: deliver results.

Ten programmes across manufacturing, healthcare, government, logistics and consumer brands, from factory-floor systems to agentic AI.

10 programmes · 5 industries · today — 2004

Accenture Song5 yrsIBM17 yrs

Accenture Song

2021 — now

Associate Director · Digital Commerce & Agentic AI

Leading the Digital Commerce delivery practice in Southeast Asia and its Agentic Commerce initiatives: building new offerings and the partner ecosystem, shaping deals in pre-sales, and leading cross-geography teams through delivery. Nominated SEA champion for Composable Commerce assets.

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.

  1. 2026 — now
    Consumer goods

    Merchandising AgentCase study

    Global beauty & cosmetics leader

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

    Read the case study ↑
  2. 2023 — now
    Consumer goods

    Customer 360Case study

    Global FMCG leader

    Delivery lead for a global B2B platform with 1.2B+ in sales transacted.

    Read the case study ↑
  3. 2021 — 2023
    Consumer goods

    Owner experience platform

    Global consumer technology brand

    Enterprise architect for European market transition, a returns portal and distributed order management. SAP Hybris, Salesforce and MuleSoft.

  4. 2021 — 2022
    Consumer goods

    Omnichannel D2C in 18 weeks

    Global food & beverage brand

    Enterprise architect and delivery lead for a D2C platform linking a content community with Lazada and Shopee.

IBM

2004 — 2021

Solution Architect · IBM iX

Seventeen years taking programmes from RFP to go-live: solution proposals, estimates, delivery-risk assessments and pricing, then leading the build. Advised CIOs and product directors on where technology was heading, from factory-floor systems to global commerce and order management.

years17

From manufacturing systems to a global order platform.

major releases3

Of a global order platform serving 2,000+ warehouses.

  1. 2013 — 2021
    Logistics

    Global Order & Warehouse PlatformCase study

    Global 3PL logistics leader

    Solution architect and delivery lead across three major releases of a platform serving 2,000+ warehouses, including the SeLECT 2.0 and 3.0 upgrades (2013–2019).

    Read the case study ↑
  2. 2012 — 2013
    Semiconductors

    Solar plant equipment integration

    Solar module manufacturer, San Diego

    Led MES equipment integration for a new manufacturing facility, from pre-sales through delivery.

  3. 2010 — 2012
    Healthcare

    Outpatient system modernisation

    Public healthcare cluster

    Led patient registration and integrated billing for polyclinics, with HL7 integrations across multiple systems.

  4. 2008 — 2009
    Public sector

    SOA programme

    Government media authority

    A service-oriented architecture programme for a national media regulator.

  5. 2007 — 2008
    Semiconductors

    Wafer manufacturing systems

    SOI wafer manufacturer

    Manufacturing technology engagement at a Singapore wafer facility.

  6. 2004 — 2005
    Semiconductors

    Wafer-fab module expansion

    Global semiconductor foundry

    Manufacturing systems for a fab module expansion in Singapore. Recognised for contributing to a CIM support win.

§ 04 About

At heart, a technologist.

Strategy only matters if it ships.

I've spent more than twenty years in consulting, 17 at IBM, the last 5 at Accenture. 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 and bring business value.

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 2 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 ↗

§ 06 Contact

Have a hard problem where AI meets real operations?

LinkedIn ↗

Where I add the most value

  • Forward-deployed AI engineering01
  • Applied AI & AI solution architecture02
  • AI delivery & engagement leadership03
  • SingaporeBased