Flieber

Market position

Flieber positions itself as a decision system for modern multi-channel commerce, distinct from inventory management systems (which it characterizes as control systems recording current and past inventory positions) and from ERPs, sitting on top of both as an intelligence layer. It also contrasts itself with spreadsheet-based planning and with what it calls overpriced enterprise solutions, and with general-purpose AI tools that lack commerce-specific use cases. It reports being used by more than 100 commerce brands.

Flieber emphasizes coverage of operational edge cases that it says break other tools, including kits, bundles, shared component inventory pools, preorders, backorders, multi-warehouse replenishment paths, large SKU counts and faulty historical data. It stresses commerce-specific prebuilt AI rather than requiring brands to build their own models or prompt engineering stack, forecasts grounded in a customer's actual sales, inventory and supply chain data, a composable approach that plugs into existing stacks rather than replacing them, and a data-handling model that limits exposure of customer data to external LLMs.

Technology

Flieber describes an API-based platform built from the start around connecting fragmented supply chain systems. Demand forecasting is done at the SKU level per sales channel on a custom engine built with Nixtla's TimeGPT, with machine learning and advanced analytics used to produce long-term forecasts, auto-correct historical data anomalies, and build forecasts for new products with limited history. Backend components include data contextualization, inventory consumption calculations and supply chain mapping; configuration is expressed through a visual supply chain map. Flieber Studio generates agents, scheduled workflows and apps from natural-language descriptions. The company states that it acts on customer data without exposing it, reaching an external AI model only when a question requires it. The platform is fully cloud-based and optimized for desktop browsers, with no mobile app.

Go-to-market

Self-serve and sales-assisted acquisition through the website, offering a 14-day free trial with no credit card and a 30-minute demo walkthrough. Free onboarding is provided with the vendor team handling setup, which the company says can be completed in as little as 20 minutes and can go live in under an hour. Marketing assets include customer testimonials, a blog, a help center, and a website chat assistant. Integrations with major sales channels and fulfillment platforms serve as a distribution and adoption channel.

Multi-channel commerce and ecommerce brands, particularly those selling on marketplaces such as Amazon and Walmart and platforms such as Shopify, including DTC and wholesale operations, that manage inventory across multiple warehouses and fulfillment centers. Users cited include retail and operations teams, demand planners, inventory planners, supply chain managers, VPs of operations and merchandise planning, and COOs.

Geography

Flieber, Inc. is a Delaware corporation and issued its Series A announcement from New York. At the time of that announcement it had clients selling in 15 countries, and it supports planning across multiple regions and sales channels.

History

Flieber was founded in 2019 by CEO Fabricio Miranda and CTO Jair Vercosa as an inventory optimization platform for ecommerce companies. GGV Capital backed the seed round and joined the board in 2019. In September 2021 the company announced a $12 million Series A co-led by GGV Capital and Monashees, taking total funding to $20 million, with Monashees joining the board and proceeds directed at expansion in the Shopify and DTC ecosystems and at expanding the platform's API. The product has since been repositioned as an AI operations platform with the addition of Flieber Studio alongside the inventory planning product.

Risks & controversies

Performance figures such as the 38% sales increase, 62% stockout reduction, 17% overstock reduction and time savings are company-reported averages across customers rather than independently audited results; the 34% forecasting accuracy claim is attributed to verification by Nixtla, whose TimeGPT model underlies the forecasting engine. Functional gaps disclosed by the company as of July 2025 include no support for expiration dates or lot tracking, no mobile application, and no substitution for ERP approval workflows. The platform depends on integrations with third-party channels, ERPs, WMS and 3PL systems, and in some cases on Google Sheets as a middleware for data ingestion.