Training Solutions
FORECAST-RT
Cohort-basedSubsidy eligible

AI Demand Forecasting & Inventory Management

Planning and merchandising teams can independently deploy AI for demand forecasting, replenishment, and inventory optimisation — reducing forecast errors by 30-40%, stockouts by 40-50%, and inventory carrying costs by 20-30%.

Specialised training for merchandising, planning, and supply chain teams in retail. Learn to deploy AI for demand prediction, automated replenishment, markdown optimisation, and multi-location inventory balancing — reducing forecast errors by 30-40% while cutting carrying costs by 20-30% and eliminating stockouts.

Duration2-3 days
InvestmentUSD $15,000 - $28,000
Best forDemand planners, buyers, merchandisers, and supply chain managers in retail chains and e-commerce businesses

THE CHALLENGE

Sound familiar?

Our demand forecasts are off by 35% on average — we're constantly either overstocked or out of stock.

Markdown decisions are made too late — by the time we discount, the season is almost over.

We have 50 stores but manage inventory at the chain level — each store has different demand patterns.

Promotional demand is impossible to predict — we either run out of promotional stock or have huge residuals.

Our planners spend 80% of their time on data manipulation instead of strategic decision-making.

Fresh produce waste is 15% because we can't predict daily demand accurately enough.

Trusted by enterprises across Southeast Asia

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OUTCOMES

What you'll achieve

Problems you'll solve

  • Demand forecast errors averaging 35%+ causing simultaneous stockouts and excess inventory
  • Markdown timing too late, reducing sell-through rates and margin recovery
  • Chain-level inventory planning ignoring store-specific demand patterns
  • Promotional demand unpredictable, causing stockouts or excessive residual inventory
  • Planners spending 80% of time on data manipulation instead of strategic analysis
  • Perishable waste rates of 15%+ due to inaccurate daily demand prediction

Value you'll gain

  • Forecast Accuracy: Reduce demand forecast errors by 30-40% across all categories
  • Stockout Reduction: Cut out-of-stock incidents by 40-50% with AI replenishment
  • Inventory Efficiency: Reduce carrying costs by 20-30% while maintaining availability
  • Markdown Optimisation: AI timing and depth recommendations improve markdown recovery by 15-25%
  • Waste Reduction: Cut perishable waste by 25-40% with daily AI demand prediction
  • Planner Productivity: Free 60%+ of planner time from data manipulation to strategic work

OUR PROCESS

How we deliver results

Step 1

Industry Assessment

We assess your current AI maturity, technology stack, and strategic priorities within retail demand planning and inventory management. 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 demand planning and inventory management. 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 demand planning and inventory management. 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

  • Demand Forecasting AI Readiness Assessment
  • AI Forecasting Model Design by Category
  • Automated Replenishment System Specifications
  • Markdown Optimisation Framework
  • Perishable Waste Reduction AI Plan
  • 90-Day Demand Planning AI Roadmap
  • Post-Programme Support Package (30 days)

Best for

Demand planners, buyers, merchandisers, and supply chain managers in retail chains and e-commerce businesses

IS THIS RIGHT FOR YOU?

Finding the right fit

This is ideal for you if...

  • Retailers with forecast accuracy below 70% needing AI-powered improvement
  • Multi-store chains with stockout rates above 5% or markdown losses above 3%
  • Grocery and perishable retailers with waste rates above 10%
  • Planning teams spending majority of time on data manipulation instead of analysis
  • Retailers growing rapidly and needing scalable demand planning processes

Consider another option if...

  • Single-store retailers with simple product ranges (under 100 SKUs)
  • Retailers needing custom forecasting algorithm development (try Engineering tier)
  • Planning teams already running mature AI forecasting at scale

See yourself in the list above?

Let's Talk

CURRICULUM

What you'll learn

2 days total

Understand how AI and ML transform demand forecasting — from traditional statistical methods to AI models that learn and adapt.

What you'll be able to do

  • Compare AI forecasting approaches against your current statistical methods
  • Understand data requirements for effective AI demand prediction
  • Evaluate AI forecasting tools and platforms for your retail context
  • Map your planning function's highest-impact AI opportunities by category

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COMMON QUESTIONS

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