Training Solutions
STOREFRONT-RT
Cohort-basedSubsidy eligible

AI for Retail Teams

Retail teams can independently implement AI for demand forecasting, inventory optimisation, customer personalisation, and store operations — improving forecast accuracy by 30-40%, reducing stockouts by 40%, and increasing basket size by 15-25% through AI-powered personalisation.

A comprehensive AI training programme for retail professionals. From demand forecasting and inventory optimisation to customer personalisation, store operations, and omnichannel experience — your retail teams learn to apply AI within the fast-paced, margin-sensitive, and customer-centric frameworks unique to retail across Southeast Asia.

Duration3-5 days
InvestmentUSD $18,000 - $40,000
Best forRetail operations directors, merchandising teams, e-commerce leaders, and store management seeking to accelerate AI adoption across retail operations

THE CHALLENGE

Sound familiar?

We lose 8% of revenue to stockouts and another 5% to markdowns on excess inventory — AI forecasting should fix this.

Our online and offline customer data lives in separate systems — we can't personalise the omnichannel experience.

Competitors are using AI for personalised recommendations and our conversion rates are declining.

Visual merchandising decisions are made by gut feel — we have no data on what actually drives store sales.

We manage 50+ stores but each one operates differently — AI could standardise best practices.

Our loyalty programme has millions of members but we send the same promotions to everyone.

Trusted by enterprises across Southeast Asia

Financial Services
Healthcare
Education
Manufacturing
Professional Services
Government

OUTCOMES

What you'll achieve

Problems you'll solve

  • Demand forecast inaccuracy causing simultaneous stockouts and overstock across categories
  • Customer data siloed between online and offline channels preventing omnichannel personalisation
  • Declining conversion rates against AI-enabled retail competitors
  • Visual merchandising and store layout decisions not data-driven
  • Inconsistent operations across multi-store retail chains
  • Loyalty programmes delivering generic communications instead of personalised offers

Value you'll gain

  • Forecast Accuracy: AI reduces demand forecast errors by 30-40%, cutting stockouts and markdowns
  • Personalisation: AI-powered recommendations increase basket size by 15-25%
  • Inventory: Optimised stock levels free 15-20% of working capital tied in excess inventory
  • Loyalty: AI-personalised promotions improve campaign response rates by 3-5x
  • Operations: Standardised AI-driven practices improve store performance consistency by 20%+
  • Omnichannel: Unified AI customer view increases cross-channel conversion by 25-35%

OUR PROCESS

How we deliver results

Step 1

Industry Assessment

We assess your current AI maturity, technology stack, and strategic priorities within retail chains, e-commerce, and omnichannel retail operations. This includes interviews with operations, leadership, and frontline teams to map your highest-impact use cases.

Step 2

Curriculum Customisation

We tailor all modules to your specific context within retail chains, e-commerce, and omnichannel retail operations. All examples, case studies, and exercises use scenarios your teams will recognise from their daily work.

Step 3

Hands-On Delivery

Interactive workshops using real-world scenarios from retail chains, e-commerce, and omnichannel retail operations. Each module combines concept explanation with immediate practice on tasks your teams perform daily.

Step 4

Use Case Development

Participants develop 2-3 AI use case proposals specific to their departments, with business cases, risk assessments, and implementation roadmaps ready for leadership review.

Step 5

Adoption Support

30-day post-programme support includes office hours, Slack access, implementation coaching, and a follow-up session to review progress on use case pilots and address emerging challenges.

What you'll receive

  • Retail AI Maturity Scorecard
  • Demand Forecasting AI Model Design
  • Personalisation Strategy & Quick-Win Templates
  • Store Operations AI Playbook
  • Omnichannel AI Architecture Recommendations
  • 90-Day Retail AI Roadmap
  • Post-Programme Support Package (30 days)

Best for

Retail operations directors, merchandising teams, e-commerce leaders, and store management seeking to accelerate AI adoption across retail operations

IS THIS RIGHT FOR YOU?

Finding the right fit

This is ideal for you if...

  • Retail chains with 10+ stores seeking consistent AI-driven operations
  • E-commerce businesses wanting AI personalisation to compete with marketplace algorithms
  • Retailers with high stockout or markdown rates needing AI demand forecasting
  • Omnichannel retailers wanting unified customer experience across channels
  • Loyalty programme operators wanting to move from generic to personalised engagement

Consider another option if...

  • Individual store owners without multi-location operations data
  • Retailers needing custom e-commerce platform development (try Engineering tier)
  • Retail operations already running mature AI across merchandising and personalisation

See yourself in the list above?

Let's Talk

CURRICULUM

What you'll learn

2 days total

Understand how AI transforms retail — from demand sensing and inventory optimisation to personalisation engines and store intelligence.

What you'll be able to do

  • Identify 10+ AI applications across retail merchandising, marketing, operations, and CX
  • Evaluate retail AI tools against your business model and technology stack
  • Understand data requirements for effective retail AI implementation
  • Map your retail operation's highest-value AI opportunity areas

EXPLORE MORE

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COMMON QUESTIONS

Frequently asked

Ready to explore AI for Retail Teams?

Let's discuss how this solution can help your organization achieve its AI ambitions.

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