Data Intelligence for Live Commerce & Streaming

We use a combination of platform APIs where available, headless browser automation for streams without APIs, and specialized live stream parsing technology that captures product listings, pricing overlays, chat data, and viewer metrics with sub-second latency as the stream is live.

We support TikTok Shop Live, Instagram Live Shopping, YouTube Live, Amazon Live, Taobao Live, Douyin, Shopee Live, and dedicated platforms like Whatnot, Popshop Live, and NTWRK. We can add coverage for emerging platforms on request.

Yes. For platforms that allow replay access, we can process historical stream recordings to extract product data, pricing, timestamps, and engagement metrics retroactively. This is useful for competitive research and trend analysis without needing to monitor streams in real time.

Our NLP models process live chat messages in real time, classifying sentiment (positive, neutral, negative), detecting purchase intent signals (questions like 'where can I buy this?'), identifying trending topics, and flagging high-engagement moments. The models support 40+ languages.

Absolutely. You can configure monitoring for specific creators, brands, or product categories. Our system will alert you whenever a tracked creator goes live, giving you the option to monitor the event in real time or capture a post-stream summary.

Data can be delivered via real-time WebSocket streams for live event data, webhooks triggered by specific events (e.g., a flash sale starting), or batched post-stream reports delivered via API or file download. All delivery methods are configurable based on your use case.

Live commerce combines real-time video streaming with instant purchasing capabilities, allowing hosts to demonstrate products while viewers buy directly within the stream. Unlike traditional ecommerce where product pages are static, live commerce creates urgency through limited-time offers, real-time interaction, and social proof from other viewers. Conversion rates for live commerce are typically 5-10x higher than standard product pages.

The creator economy drives live commerce because individual hosts and influencers build trust with their audiences in ways that brand accounts cannot replicate. Top live sellers generate millions in revenue per stream by combining product expertise with entertainment. Brands increasingly partner with creators rather than running their own streams because creator-led sessions consistently outperform brand-led ones in engagement and conversion metrics.

GMV stands for Gross Merchandise Value, which represents the total value of products sold through a platform or channel before deducting returns, cancellations, and fees. In live commerce, GMV is measured per stream, per host, and per platform to assess performance. It is one of the most important metrics because it captures the full revenue potential of live selling activity.

Flash sales in live streams are time-limited offers that typically last only a few minutes while the host is actively showcasing a product. They create urgency by displaying countdown timers and limited inventory quantities. The psychological effect of watching other viewers claim items in real time drives significantly higher conversion rates compared to static discount offers on traditional product pages.

Chat sentiment is a real-time indicator of audience engagement and purchase intent during live streams. Positive sentiment spikes often correlate with higher add-to-cart rates in the seconds that follow. Analyzing chat patterns can reveal which product features resonate with viewers, which objections need addressing, and which moments in a stream generate the most commercial interest — insights that are invisible in traditional ecommerce.

In China, live commerce is a mature channel accounting for over 15% of total ecommerce sales, with established platforms like Taobao Live and Douyin supporting professional seller ecosystems. In Western markets, live commerce is still emerging, primarily through TikTok Shop and Instagram Live, with lower adoption rates and smaller average order values. The key difference is infrastructure maturity — Asian platforms have built-in payment, logistics, and creator management tools that Western platforms are still developing.