Real results. Real brands.
Real impact.

Delivered hyper-personalised media at millions-scale — 30% Marketing ROI improvement

Traditional mass marketing campaigns delivered generic messages to broad audiences with no ability to adapt to real-time signals. Millions of independent retailers received identical promotions regardless of their location or purchase patterns — wasting budget and missing revenue.

AI segmentation improved customer retention by 40%+ and cut time-to-market by 30%

Fragmented IT infrastructure across diverse brand portfolios made a unified single-customer view impossible. High-value repeat purchasers received identical campaigns to one-time buyers, severely eroding customer retention and media ROI across both D2C and external marketplace channels.

Adapted to AI search and drove 796% AI search traffic growth

Generative AI summaries now appear in a double-digit percentage of all global search queries, reducing traditional organic CTR by over 60% when present. Traditional keyword-heavy marketplace listing strategies were becoming obsolete — and brands had no framework to respond.

Turned fragmented commerce signals into real-time category intelligence — 65% forecasting error reduction

Massive data volume with near-zero data connectivity: social media, e-commerce transactions, QComm feeds, and ERP systems lived in completely separate architectures. Trend identification lagged by weeks and active media campaigns were disconnected from actual category intelligence.