Datajar is an AI analytics and automation platform for e-commerce businesses. It connects to a merchant's store, advertising, and analytics data, and lets users ask questions about their business in plain language rather than building reports or dashboards.
Users connect data sources including Shopify, Meta Ads, Google Analytics 4, BigQuery, Shopware, and CSV uploads. Once connected, they can ask questions such as why average order value changed, which products are losing conversions, or how discounting affects profit, and receive answers with supporting charts. Results can be exported to CSV.
Beyond analysis, Datajar can execute actions on connected platforms. It can update product prices and compare-at prices on Shopify, and change the status or budgets of campaigns, ad sets, and ads on Meta Ads. Every action requires explicit user approval before it runs. Paid plans also include competitor price tracking, which lets merchants compare their pricing against tracked competitors.
Datajar is intended for small and mid-sized e-commerce teams that do not have a dedicated data analyst. It analyzes business data such as orders, products, and advertising performance. The platform is GDPR-compliant, and merchant data is not used to train language models.