Why GenAI Forecasting Fails in Retail
Most retail GenAI initiatives stall at proof-of-concept.
The issue is not AI capability, but fragmented data across POS, ERP, CRM, and digital channels, combined with unreliable analytics and uncontrolled cloud costs.
Without a strong data foundation, GenAI cannot scale or deliver measurable impact.
What This Session Covers
How modern retail data architecture enables reliable forecasting
Why analytics maturity must come before GenAI adoption
How trusted data unlocks AI-driven insights and decisions
From Retail Data to GenAI-Ready Forecasting
GenAI forecasting in retail does not start with models. It starts with how data is collected, structured, governed, and made reliable across the organization. This section outlines the end-to-end data journey that enables analytics today and GenAI forecasting tomorrow.
Retail Systems
Data is generated across POS, ERP, CRM, and digital channels, often in fragmented and inconsistent formats.
Webinar Details & Participant Benefits
29 January 2025 | 10:00 – 11:30 WIB
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Free AWS Credits up to USD 1,000*
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E-Wallet balance worth IDR 500,000*
*Terms & conditions apply
Build the Right Foundation Before GenAI
GenAI forecasting is not a starting point.
It is the outcome of reliable data, governed analytics, and efficient cloud operations.
