Zoho Corporation has launched Projects Plus, a flexible, collaborative new platform providing data and intelligence-driven project management for mid-sized and large organisations. Through native integration of four key Zoho applications —Projects, WorkDrive, Analytics and Sprints — Projects Plus enables asynchronous collaboration, seamless file management, real-time business intelligence, and Agile or Waterfall workflows.
Zoho Projects has seen rapid growth, doubling its revenue in 2024, with 55% of new users migrating from Microsoft Projects and JIRA. Projects Plus builds on this success by focussing on better data democratisation, AI-powered insights, hybrid project management, and collaborative work management.
As 18% of enterprise customers deployed both Zoho Projects and Zoho Analytics, Projects Plus directly addresses these needs by consolidating the two, and more, into a singular, efficient solution. “The surge in digitization across the nation and the hybrid work culture have necessitated project management tools to be well ingrained in the overall software architecture of an organisation,” said Veerakumar Natarajan, Country Head, Zoho Kenya.
With Projects Plus, which can be easily customised and integrated with other apps, Zoho has brought together key tools like analytics, file management and collaboration, and the option to use blended project management methodologies, creating a new value-packed offering in the market. “Furthermore, Projects Plus synthesises the latest AI-driven tools, data-first analytics, and privacy-focused protections into software that anticipates the evolving needs of international enterprise organisations, expanding Zoho’s global reach,” said Mr Natarajan.
Project Democratisation
The shift toward Data-Driven Project Management (DDPM) is transforming how organisations make decisions. Instead of relying on intuition, businesses can now leverage real-time data and analytics to drive efficiency. Projects Plus captures insights across multiple dimensions — including time tracking, budgeting, task completion, and deliverability metrics —helping teams make smarter, data-backed decisions.
Predictive analysis plays a crucial role in this approach, using historical data to forecast risks, estimate project timelines, and anticipate resource needs. By analysing past trends, businesses can proactively plan and mitigate risks before they impact project success. Progress tracking has also evolved beyond traditional static tools like Gantt charts.
With real-time dashboards, project managers now have dynamic, up-to-date insights that provide a comprehensive view of project status, allowing them to identify and address bottlenecks as they arise.
Additionally, quality control analytics ensure that every stage of a project meets predefined standards. By continuously monitoring data related to project deliverables, businesses can uphold high-quality outcomes, reducing errors and inefficiencies throughout the project lifecycle. With these enhanced analytical capabilities, Projects Plus enables organisations to shift from reactive project management to a more strategic, data-driven approach that improves execution and results.
Projects Plus integrates Zia, Zoho’s AI engine, to automate complex data analysis and provide predictive insights, helping project managers focus on strategic leadership. By analysing project performance data, businesses can identify inefficiencies and optimise processes, streamlining workflows to improve productivity.
AI-powered insights also enable smarter resource allocation by identifying areas where resources are being underutilised or overburdened. This ensures that the right people are assigned to the right tasks, maximising efficiency across teams.
Forecasting and planning are also significantly enhanced through AI-driven analysis. With more accurate predictions about project timelines, costs, and potential risks, organisations can make proactive adjustments to avoid delays and cost overruns. This results in better project outcomes, improved resource management, and higher overall efficiency.
