Recurrency builds ERP automation software for distributors and wholesale businesses. Its platform syncs with legacy ERPs and automates sales, purchasing, pricing, forecasting, and replenishment workflows. The company says it serves distributors ranging from $5 million to $5 billion in annual revenue.
CEO, Founder
Recurrency primarily focuses on the demand planning and purchasing solutions market, specifically designed for distributors.
Subscription-based model generating recurring revenue through demand planning and purchasing solutions.
Recurrency operates in a competitive landscape with several notable competitors in the demand planning and purchasing solutions market for distributors. The main competitors include:
Nue: Specializes in revenue lifecycle management within the RevOps sector, providing a platform that includes solutions for configure-price-quote (CPQ). This focus on RevOps may give Nue an advantage in effectively managing revenue processes.
Rootstock Software: Offers cloud enterprise resource planning (ERP) solutions specifically for the manufacturing and supply chain sectors. Their modules cover order management, inventory, and production, potentially providing a more comprehensive solution for businesses in these industries compared to Recurrency.
Pricing HUB: Focuses on price optimization for the retail and e-commerce sectors, utilizing artificial intelligence to enhance sales and margins. This AI-driven approach to pricing could be a significant differentiator, allowing Pricing HUB to offer more dynamic pricing strategies than Recurrency.
Connected Business, Eva, Hydrian, HyperC, and SalesPad: Other notable competitors that specialize in various aspects of inventory management, eCommerce optimization, and ERP solutions, catering to specific needs that Recurrency might not address as comprehensively.
Overall, while Recurrency provides valuable solutions for distributors, its competitors have distinct focuses that may offer advantages in specific areas such as revenue management, ERP solutions, and pricing optimization.