Three capability types. One foundation.
Track 2 is the right approach when a use case requires synthesising information across multiple data domains, natural language interaction, structured analytical tooling, or automating multi-step operational workflows that span planning, transactional and master-data systems.
The Hub exposes three complementary capability types — Domain GPTs, Apps & Analytical Tools, and Agentic AI — sharing a single semantic layer over the GMSC Data Fabric. Each tile below opens a dedicated preview surface, ready to be built out one artefact at a time.
GMSC AI Hub — at a glance
Domain-specific AI assistants
Each Hub GPT is trained on its domain's data, processes and terminology — contextual answers, not generic chat.
IBP & S&OP Advisor
Pre-meeting synthesis, volume risk analysis, gap-to-target identification, consensus guidance, and post-cycle retrospectives across the integrated business planning cycle.
Demand Planning GPT
Natural language querying of demand forecasts, bias analysis, market-level performance, NPI tracking, and what-if scenario exploration against baseline.
Supply Planning GPT
Supply vs. demand gap analysis, constrained supply views, supplier risk flagging, production schedule queries, and material availability overviews.
E2E Planning Intelligence
End-to-end supply chain visibility — from production to DC to store — enabling cross-functional analysis of service levels, inventory positioning, and flow efficiency.
Store Replenishment GPT
Store-level inventory queries, replenishment recommendation review, fill-rate analysis, and store cluster performance — supporting both field and central planning teams.
Promo & Pricing Intelligence GPT
Promotion performance analysis, pricing scenario modelling, lift vs. cannibalisation assessment, and cross-regional promo comparison — connected to planning and sell-out actuals.
Merchandising GPT
Range architecture queries, sell-through analysis, markdown risk identification, collection performance vs. plan, and assortment gap analysis by channel and market.
Aurora Transition GPT
Dedicated intelligence for the Silver-to-Platinum transition — E2E inventory view, remelt projections, transition scenario planning.
Structured AI-powered applications
Where a guided interface delivers more precision and consistency than open-ended conversation.
Seasonality Index Analyzer
Identify, validate and apply the right seasonality index for any demand variant — multi-year decomposition, transparent recommendations with confidence, override with audit trail, and direct o9 writeback.
NPI Curve Builder
Build new product ramp curves from comparable product lookups. Closest historical analogues by attributes, channel and market — confidence bands and o9 writeback.
Supply Risk Heatmap
Interactive heatmap of supply risk across the portfolio — combining supplier lead time variability, coverage, pending POs and demand volatility into a single prioritised view.
Aurora Scenario Modeller
Define lever combinations — markdown depth, remelt timing, Platinum ramp speed — and see financial and operational outcomes side by side, with market-level granularity.
Markdown & Clearance Optimiser
Model revenue and margin outcomes of markdown depth and timing for slow-moving SKUs — price elasticity, remaining range life, channel mix, and ranked recommendations.
IBP Pack Builder
Automated assembly of IBP meeting packs — live o9 and SAP data into the GMSC template with volume summaries, risk log, action tracker and scenario slides.
Aurora Transition — Silver to Platinum, end to end
The cross-cutting proof point for Track 2. A dedicated GPT, a scenario modeller and a monitoring agent — sharing one data foundation, one view of the transition.
Autonomous agents for operational excellence
Observe, reason, act, report — eliminating the operational burden of routine, rule-based decisions.
Purchase Order Exception Agent
Monitors open POs against confirmed lead times and receipt dates. Identifies exceptions, categorises by severity, attempts resolution within tolerance and escalates with full context.
Store Stock-Out Prevention Agent
Continuously monitors store inventory and sales velocity. Detects stock-out risk, assesses DC stock, triggers expedited replenishment and notifies the relevant planner.
Forecast Bias Correction Agent
Reviews prior-week forecast accuracy by market, channel and cluster. Identifies bias, proposes parameter adjustments within governance and documents every change.
IBP Pre-Read Compilation Agent
Assembles the IBP pre-read pack each cycle — volume vs target, demand risk log, supply constraints and action updates — formatted and distributed 48h ahead.
Supply Disruption Response Agent
On detected supply disruption, assesses downstream impact on DC and store replenishment, models reallocation options and escalates a proposed action plan.
Markdown & Clearance Trigger Agent
Reviews slow-moving and end-of-life inventory against sell-through targets and range exit dates. Models markdown depths and surfaces recommendations.
Master Data Quality Agent
Monitors product master data across MDG/PDH and connected planning systems. Flags discrepancies in attributes, parameters or mappings and tracks resolution.
Aurora Transition Monitoring Agent
Weekly monitoring of silver vs platinum inventory ratios by market against transition milestones. Flags at-risk markets and feeds the Aurora GPT and Modeller.
Phased implementation
Data Fabric. Semantic layer v1. Hub infra. Aurora GPT MVP. Seasonality Analyzer. 2 pilot agents.
o9 embedded AI. Demand & Supply GPTs. NPI Curve Builder. Supply Risk Heatmap. 4 more agents.
Full GPT portfolio. Aurora Modeller. IBP Pack Builder. Promo & Markdown apps. Learning loops.
Autonomous planning cycles. Cross-function AI. External signals. AI-native IBP.