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Industry Personalisation Relevance Core Problem How BigQuery AI Fits Key Benefit
Retail / E-commerce Advanced Shoppers face choice overload across thousands of SKUs, driving cart abandonment Vector search links intent to products; AI.GENERATE creates personalised descriptions or bundles; AI.FORECAST supports price/availability insights Higher conversions and stronger customer loyalty
Telecom (Broadband & Mobile)
Metric Industry Benchmark Baseline (Typical OTA) Value Addition from Prototype (Current Scope) Value Addition from Full Production Version Notes / Assumptions
Conversion Rate ~0.2% (small OTA) – ~4% (large OTA)~2% (average OTA) ~2% Relative uplift: +10–15% → 2.2–2.3% Relative uplift: +25–40% → 2.5–2.8% Based on McKinsey benchmarks: 10–15% uplift at early stage; 25–40% at scale. Baseline aligns with TravelInsight
| Metric | Industry Benchmark | Baseline (Typical OTA) | Value Addition from Prototype (Current Scope) | Value Addition from Full Production Version | Notes / Assumptions |
|--------------------------------|-----------------------------------------------|---------------------------------------|-----------------------------------------------------|-----------------------------------------------------|--------------------------------------------------------------------------------------------------------|
| Conversion Rate | ~0.2% (small OTA) – ~4% (large OTA)<br>~2% (average OTA) | ~2% | Relative uplift: +10–15% → 2.2–2.3% | Relative uplift: +25–40% → 2.5–2.8% | Based on McKinsey benchmarks: 10–15% uplift at early stage; 25–40% at scale. Baseline aligns with TravelInsight[h