中文HiFlow Solutions, the Miami-based provider of ERP software built specifically for label and packaging converters, has introduced its first artificial-intelligence agent and a suite of six AI-enabled workflows, demonstrating the package on its packaging-specific ERP platform at Loupe Americas 2026. The company is calling the new AI Quote Agent the first of its kind in the industry, and it is positioning the launch as the opening move in a broader push toward what it describes as an “agentic” label and packaging ERP – one that helps shops execute work rather than simply record it.
The AI Quote Agent takes a conversational approach to a job that has always been among the most labour-intensive in any converting business: estimating and preparing quotes. Instead of re-keying specifications from a customer email or PDF into a pricing screen, a user walks the agent through the job requirements in a guided, conversational exchange. The agent then assembles an estimate for the estimator to review, leaning on the converter’s own costing rules and product data. HiFlow says the Quote Agent is only the first specialised agent it intends to ship; further agents are planned as it expands the platform’s capabilities.
Alongside the Quote Agent, HiFlow demonstrated six AI-enabled workflows aimed squarely at the repetitive document-processing work that clogs a converter’s front office. They cover estimate processing, order processing, supplier delivery processing, supplier price list updates, bill of lading processing and accounts payable processing. In each case the goal is the same: capture and structure information already arriving by email, PDF or other documents, then move it into the correct ERP process without manual re-entry. Paired with connected workflow automation and real-time data visibility, the pitch is that the system does the administrative heavy lifting so people can focus on customers.
HiFlow’s leadership was explicit that the demonstration was about proof, not promises. “Loupe gave us the opportunity to move the AI conversation from what might be possible to what converters can actually see working today,” said Mariusz Sosnowski, CEO of HiFlow Solutions. “When AI can read the information already coming into a business, turn it into usable ERP data and eliminate repetitive entry, that’s where it begins to make a real operational difference.” It is a pointed message in an industry that has heard a great deal of AI hype and seen comparatively little land on the shop floor.
The pain points HiFlow heard at the show are the ones every converter now recognises. “Experts are aging out of the industry, plants are consolidating, and labor is harder to find and keep,” noted Alfonso Hernandez, vice president of sales at HiFlow Solutions. He argued that real connectivity on the shop floor – being able to track equipment, substrate and tools so that time is not lost to unplanned downtime – is now paramount. Steve DeBenedetto, business development manager, added a structural observation: a striking number of the companies HiFlow spoke with at Loupe are now multi-product operations rather than single-process label converters, and the platform has to keep pace with how converters actually run their businesses rather than the narrow segment they started in.
That last point is the strategic one. As label printers add flexible packaging, folding carton and other converting work, the ERP beneath them has to absorb new products, processes and cost structures without a rebuild. An agentic layer that can read incoming documents and route them correctly becomes valuable precisely because the business it serves is more complex than it used to be.
For HiFlow, the launch also signals a competitive posture. The label and packaging MIS/ERP field is crowded with vendors racing to wrap AI around quoting, preflight and production planning, and the differentiators are becoming clear: does the AI remove a manual step, or merely generate text? HiFlow’s focus on estimate and document capture is a bet that the former is what converters will pay for.
The broader implication is that AI in print ERP is moving from dashboard novelty to embedded utility. If agents like HiFlow’s can reliably turn a customer’s PDF into a structured, priced job, they attack one of the most persistent inefficiencies in the industry – the hours lost re-keying and correcting order data. That is exactly the kind of unglamorous gain that, compounded across thousands of jobs, changes a converter’s economics. Whether HiFlow’s agents deliver consistently in live environments will determine how fast the rest of the field follows.
Source: Labels & Labeling – “HiFlow launches AI quote agent” (1 October 2026).
The risk with any AI quoting agent is trust: an estimate built from a conversational exchange has to be auditable and reversible before a converter lets it touch real money, and HiFlow will need clear guardrails and versioning if the Quote Agent is to move from impressive demo to daily driver. Still, the direction is right, because document capture is the rare AI use case with immediate, measurable payback on a converter’s front office, provided the structured data it produces is accurate.
