HiFlow Solutions Launched AI-Powered Workflow Platforms
The Miami-based firm introduced a new ERP system and six specialized AI tools to automate administrative tasks.
Updated on Oct. 1, 2026 in Artificial Intelligence
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HiFlow Solutions has released an AI-powered ERP system alongside six automated workflow platforms designed for the packaging industry. The software streamlines operations by capturing and structuring data from emails, PDFs, and other incoming documents.
Why it matters
By automating repetitive tasks like invoice and order processing, these platforms allow employees to shift their focus toward high-value work. This technology aims to simplify complex administrative burdens for label and packaging converters.
The suite includes six AI-enabled platforms such as Estimate Processing and Accounts Payable Processing that parse information from unstructured sources. The technology relies on AI agents that interpret job specifications to generate packaging estimates.
The players
HiFlow Solutions
A Miami-based technology company that specializes in software development for the label and packaging manufacturing industry.
The details
The new software platforms, which include tools for Supplier Price List Updates and Bill of Lading Processing, are designed to eliminate manual data entry. HiFlow Solutions developed these tools drawing on 26 years of industry experience to address specific bottlenecks in packaging workflows.
Timeline
October 1, 2026: HiFlow Solutions launched the AI ERP system and six workflow platforms at LOUPE 2026.
The Tech Race
The launch of these AI-powered platforms signals a shift in enterprise resource planning (ERP) systems by replacing manual data entry with autonomous AI agents. This development marks a transition from legacy systems that required significant human input to intelligent software capable of independent processing.
Users can expect reduced manual workloads as the software automates the intake of email and PDF documents. This allows staff to delegate routine administrative duties like bill processing to AI agents, potentially increasing operational speed for employees.
The takeaway
Businesses adopting AI-driven workflow platforms should audit their current data intake methods to ensure they are prepared for automated processing. Integrating these tools early can help organizations mitigate administrative overhead and improve the accuracy of their internal data structures.
Further reading
For more information on the current landscape of business automation, explore our Artificial Intelligence section.
Source note: This article includes information reported by Packaginginsights.
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