Navi
The AI Data Analyst for Modern E-commerce Teams
Open Profit is a next-generation AI financial intelligence platform engineered for high-velocity e-commerce brands in the 2026 digital economy. The platform's technical architecture utilizes a proprietary multi-touch attribution engine combined with 1st-party pixel data to bypass the limitations of post-iOS 14.5 signal loss. By ingesting real-time data from platforms like Shopify, Amazon, Meta Ads, and TikTok, Open Profit constructs a high-fidelity 'Single Source of Truth' for unit economics. Its AI engine performs predictive cohort analysis, allowing CFOs and growth leads to forecast Customer Lifetime Value (LTV) with 94% accuracy within the first 30 days of acquisition. In the 2026 market, Open Profit distinguishes itself through its automated COGS (Cost of Goods Sold) synchronization and overhead allocation algorithms, which calculate true contribution margins per SKU in real-time. This eliminates the latency of traditional accounting software, enabling agile decision-making for inventory liquidation, ad spend scaling, and international expansion. The platform integrates seamlessly into enterprise data stacks via a robust GraphQL API, positioning it as an essential middleware between sales channels and corporate ERP systems.
Uses server-side tracking to capture customer journeys across devices, bypassing browser-level tracking preventions.
The AI Data Analyst for Modern E-commerce Teams
The premier social commerce platform empowering everyday creators to monetize 1,200+ global brands.
Verified feedback from the global deployment network.
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Uses LSTM neural networks to predict stock-out dates based on historical sales velocity and seasonal trends.
Dynamically matches inventory costs with specific order batches using FIFO or Average Cost methods.
Segments customers by acquisition date and channel to calculate long-term retention and payback periods.
Real-time API fetch of forex rates to normalize global sales into a single reporting currency.
Monte Carlo simulations to forecast profit outcomes based on variable changes in ad spend or shipping costs.
Statistical monitoring of order flows and ad spend to detect tracking breaks or sudden margin erosion.
Uncertainty regarding which ad sets are driving actual profit vs. vanity revenue.
Registry Updated:2/7/2026
Too much capital tied up in slow-moving SKUs.
High customer acquisition costs (CAC) making initial sales unprofitable.