Dimension scores are derived from public data and fields; weighted into the composite. Reference only.
Dataphyll is orchard harvest and management software developed in New Zealand. Its core product, Dataphyll Grow, is aimed at growers in New Zealand and Australia. It uses RFID, sensors, and mobile technology to collect on-site orchard data, helping manage harvesting, piece-rate pay, working hours, quality issues, and profitability performance. It is not a general-purpose project management tool, but a vertical SaaS/on-site technology solution focused on orchard picking, data continuity before and after packing, and seasonal workforce incentives.
Based on the information on its website, Dataphyll’s core value lies in electronic piece-rate harvesting and a real-time data feedback loop. Each worker has a personal tag; supervisors scan workers in and assign locations, bin counts, or tokens. After harvesting, a runner weighs the produce on-site, and the system records picked weight with gram-level precision. It also supports break times, working hours, piece-rate weights, quality issues, and QC alerts. Managers can use dashboards to view real-time output, worker performance, row-level yield, rejection rates, and reports. Integration details are relatively clear: it supports PayHero and Agrismart, and there are case examples of integrations with Tarras’s internal Horthub and Radfords packing software, helping reduce paper records and duplicate payroll entry.
The official website does not disclose plans, pricing, billing cycles, hardware costs, or implementation service fees. It only provides conversion entry points such as Get Started, Try it out, and Book a Demo, so buyers will need to request a quote before procurement. Deployment details are also not clearly stated. The only thing that can be confirmed is that it relies on on-site RFID/sensor/mobile devices and back-end data analytics capabilities; there is no textual basis to determine whether it is purely cloud-based or supports self-hosting.
Its strengths are its highly specific industry focus: it connects harvest weighing, performance incentives, quality traceability, and payroll systems, making it suitable for orchards facing labor shortages, frequent piece-rate disputes, and delayed quality feedback. Workers do not need to operate complex technology directly, which also lowers adoption friction on the front line. The downside is limited enterprise-level disclosure: there is no public pricing, API documentation, security certification, permission model, or service SLA. In addition, because the system involves hardware and on-site workflows, implementation will depend more heavily on deployment services and training than a typical SaaS product.
Dataphyll is better suited to fruit growers, orchard groups, and agricultural employers in New Zealand and Australia that need performance-based payroll management for seasonal workers. Access from China is unknown, and payment methods are not disclosed. If deploying it in China, buyers should focus on confirming network availability, compatibility with local payroll and tax rules, hardware supply and after-sales support. Possible alternatives include a combination of local agricultural digitization platforms, farm management systems, labor attendance tools, and payroll systems.
⚠ This review is compiled from public sources and does not constitute a purchase recommendation. Verify all facts on the vendor's official site. Verify on dataphyll.com official site.
dataphyll.com is an New Zealand Agri & Food provider. TG4G tracks its product information, an overall rating of 6.0/10, and a China-accessibility score of Limited (proxy recommended). Click "Visit Official Site" to reach dataphyll.com directly.