Supply chain software and WMS implementation for eCommerce and 3PLs
Fulfillment IQ pairs custom supply chain software development with WMS implementation services, serving D2C brands, retailers, and third-party logistics providers. The tech stack reveals a polyglot engineering culture—Python/FastAPI/Flask backend, React frontend, SQL Server/PostgreSQL/MongoDB data layer, plus heavy use of enterprise WMS platforms (Manhattan Active, HighJump, SAP EWM, Blue Yonder). Engineering dominates the current hiring push (14 roles, mostly senior), while pain points around 'transforming MVP-stage software into scalable revenue engines' and 'scaling revenue for product initiatives' signal a shift from pure services toward productized offerings.
Notable leadership hires: Technical Lead
Fulfillment IQ provides software development and technology implementation services for supply chain and eCommerce fulfillment operations. They work across D2C brands, retailers, and 3PLs, from greenfield platform builds to large-scale WMS transformations. The company has executed 135+ warehouse tech projects spanning CPG, health & beauty, apparel, and consumer electronics, with experience across 100M+ square feet of warehouse footprint and handling 1M+ daily transactions. Beyond implementation, they run thought leadership initiatives including executive dinners, roundtables, industry events, and podcasts. Headquartered in Atlanta with hiring across the United States, India, and Canada.
Python, FastAPI, Flask, Django, React frontend; Azure, AWS, GCP cloud; SQL Server, PostgreSQL, MongoDB databases; Docker containers; plus enterprise platforms: Manhattan Active WMS, SAP, Oracle, Blue Yonder, HighJump.
Manhattan Active WMS, HighJump, SAP EWM, Blue Yonder, and Oracle. Active projects include WMS implementation, process design for receive/pick/pack/ship, and large-scale WMS transformation.
Fulfillment IQ's technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →
This is not an official vendor or customer list. It is a technology-adoption signal inferred from public data, intended for B2B research.