Oracle ERP implementation and AI-driven IT consulting
APPIT Software specializes in Oracle enterprise applications—ERP, cloud, supply chain, and financials—with an active shift toward generative AI integration. The tech stack reveals a classic Oracle-centric consultancy (Fusion, EBS, WMS) now adopting Oracle Fusion while replacing legacy tools like Splunk and .NET, paired with emerging AI and marketing automation capabilities (UiPath, Meta/Google Ads). Hiring velocity is accelerating with a senior-heavy mix (9 of 12 roles) weighted toward engineering and HR, suggesting a scaling play in delivery capacity and operational infrastructure.
APPIT Software, founded in 2016 and based in Lewes, Delaware, is a 51–200-person IT and business consulting firm focused on Oracle enterprise solutions and cloud modernization. The company serves mid-market and enterprise organizations implementing or upgrading ERP systems, with particular depth in Fusion Cloud, Oracle Financials, supply chain management (WMS), and logistics integration. Core projects include Oracle Fusion migrations (PPM, OTL, finance modules), Oracle EBS implementations, and third-party logistics integrations. The firm is actively expanding its generative AI practice, positioning it as a capability layer across implementation work, while also running digital marketing campaigns (Meta, Google) to support SaaS lead generation.
APPIT specializes in Oracle enterprise systems—Fusion Cloud, Financials, ERP, supply chain, and warehouse management—alongside cloud platforms (AWS, Azure, Oracle Cloud) and emerging generative AI capabilities. The stack also includes integration tools (Boomi, Kafka) and business intelligence (BI Publisher, Infor Birst).
Active projects include Oracle Fusion PPM and OTL module implementations, Fusion-to-Finance integrations, quarterly Oracle upgrades, Oracle EBS logistics implementations, and digital marketing campaigns (Meta/Google Ads). The firm is also addressing data integration, BI performance, and third-party logistics complexity.
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APPIT Software Inc'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 →
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