qomplement is an Agentic ERP for supply chain operations, and its core positioning is to let AI agents replace humans in carrying out repetitive operations in ERP. The official description states that traditional ERP is built for human operation, whereas qomplement is built for AI agents, letting agents read documents, process orders, and update systems without manual keyboard input.
In terms of use, qomplement mainly serves supply chain and operations teams, covering end-to-end processes from purchase orders to payment. The official list of use cases includes: automatic invoice generation, three-way invoice matching, supplier onboarding, freight order automation, carrier assignment and scheduling, general ledger reconciliation, multichannel order routing, landed cost calculation, exception flagging and escalation, safety stock replenishment, accounts payable/receivable payment processing, batch and serial number tracking, real-time inventory synchronization, and more.
The main capabilities are divided by module: the supply chain and inventory direction includes inventory management, warehouse management, and freight and fulfillment; the planning and intelligence direction includes demand planning, production planning, and reporting and analytics; the finance and operations direction includes procurement, finance and accounting, order management, and supplier management. The official statement also says that if a custom module is needed, a request can be made for it to be built.
In terms of how it is used, qomplement does not require replacing the existing ERP, but instead connects to and runs on top of the existing system, with no migration and no interruption to current operations. The official statement says the deployment cycle is about 2 months, with engineers deploying the user's specific workflows and delivering a working system, with no 18-month implementation and no consultants. Pricing is not charged per seat or per module, but is based on the results saved for the user, and the official statement says customers save more than $500,000 on average in the first year.
Applicable scenarios include operations teams in industries such as logistics and retail, and the official examples include logistics operations automation, internal form automation for auto dealers, and structuring supplier data for purchase orders.
In terms of limitations, the official materials do not provide a specific list of integrated systems, a detailed explanation of the exception handling mechanism, specific pricing amounts or calculation methods, or a complete explanation of how it differs from RPA tools. These contents are listed in the materials only in the form of questions, and answers have not yet been provided.
