Cropin Expands Global AgTech Analytics Capabilities Through Sisense
As digital transformation accelerates across the global agriculture sector, data-driven decision-making has become a strategic necessity for agribusinesses, governments, and food companies navigating increasingly complex supply chains and climate challenges. To strengthen its ability to deliver scalable, real-time intelligence to customers worldwide, Cropin—the world’s largest AI platform for food and agriculture—has expanded its analytics capabilities through a new deployment of Sisense, an AI-first analytics platform designed for product and application teams.
The partnership marks a significant step forward in Cropin’s mission to digitize and modernize global agriculture. By embedding Sisense directly into Cropin Cloud, the company has transformed analytics from a traditionally manual and time-intensive process into a highly scalable, self-service experience, enabling customers to access insights instantly and act more quickly on mission-critical agricultural data.
Accelerating Data-Driven Agriculture at Global Scale
Cropin has built a strong global reputation as a leader in agricultural intelligence, providing AI-powered solutions that help organizations improve farm productivity, sustainability, climate resilience, and risk mitigation. The company supports a broad range of stakeholders—including consumer packaged goods (CPG) companies, food retailers, food processors, and government agencies—across more than 100 countries.
Its platform helps digitize farming operations by collecting and analyzing vast amounts of agricultural data, from crop performance and field conditions to supply chain trends and climate variables. This enables organizations to make more informed decisions around crop planning, procurement, sustainability initiatives, and food security strategies.
As demand for Cropin’s services expanded globally, the company recognized the need for a more sophisticated analytics infrastructure—one capable of serving a growing and increasingly diverse customer base without creating internal bottlenecks.
Legacy Reporting Tools Created Operational Friction
Before implementing Sisense, Cropin relied on a mix of disconnected reporting tools and ETL (extract, transform, load) systems to manage customer analytics requests. While functional, this fragmented setup required coordination across multiple internal teams to generate reports and dashboards.
The result was a slow, resource-intensive process that often delayed customer insights.
“Before Sisense, every request had to go through our team, and it was a long process involving multiple teams,” said Prakhyath Hegde, Head of Technology, Product, and AI Labs at Cropin.
Report delivery times often stretched from three to six weeks, creating friction for both customers and internal teams. As analytics demand increased, the existing model became increasingly unsustainable.
Cropin needed a solution that would allow customers to access data independently while reducing the burden on internal engineering and analytics teams.
Evaluating the Right Analytics Partner
As part of the modernization of Cropin Cloud, the company launched a comprehensive evaluation of leading analytics providers. Several major platforms—including Microsoft Power BI, Tableau, and Qlik—were considered during the selection process.
Ultimately, Sisense emerged as the preferred platform due to several strategic advantages.
According to Cropin, Sisense stood out for its advanced embedded analytics capabilities, strong support for multi-tenant deployments, scalability across global customer environments, and flexible APIs and software development kits (SDKs) that could integrate seamlessly into Cropin’s existing architecture.
The decision aligned closely with Cropin’s product-first strategy: rather than offering analytics as a separate module, the company wanted analytics to become a fully integrated part of the Cropin Cloud user experience.
Embedded Analytics Creates a Native Product Experience
Using Sisense’s Compose SDK and embedded analytics tools, Cropin integrated dashboards, reports, and analytics workflows directly into Cropin Cloud.
The result is a fully white-labeled, native experience in which customers can explore and generate insights without leaving the platform.
This embedded approach creates a more intuitive workflow for users while strengthening customer engagement and platform value.
“Sisense gave us a way to scale as a product,” said Hegde. “We are now able to scale our business without needing additional headcount.”
That efficiency gain is particularly important for fast-growing SaaS companies like Cropin, where balancing customer growth with operational efficiency can determine long-term success.
Unlocking Self-Service Analytics for Customers
One of the most transformative outcomes of the Sisense deployment has been the shift toward self-service analytics.
Instead of submitting requests and waiting weeks for custom reports, Cropin customers can now access data directly, build their own dashboards, and generate customized insights in near real time.
“Now we extend developer access to our customers, and they can build reports themselves instead of depending on us,” Hegde explained.
This democratization of analytics gives customers more control over their data and significantly improves responsiveness in fast-moving agricultural environments, where decisions often depend on real-time visibility.
Whether monitoring crop performance, analyzing weather impacts, or evaluating supply chain risks, customers can now act faster and more independently.
Built for Multi-Tenant Global Growth
Supporting customers in over 100 countries presents unique technical challenges, particularly around security, customization, and scalability.
Sisense’s architecture enabled Cropin to deploy secure, customer-specific analytics environments while maintaining centralized operational control.
Using ElastiCubes, Sisense’s high-performance analytical engine, along with role-level security controls, Cropin can deliver tailored analytics experiences to each customer while ensuring data privacy and regulatory compliance.
The platform also automates onboarding and analytics provisioning, allowing new customers to be set up more efficiently regardless of region or market.
This automation is especially valuable as Cropin expands into new geographies and customer segments.
Measurable Business Impact
The transition to Sisense has already delivered significant operational and customer-facing benefits for Cropin.
Key outcomes include:
- Report turnaround reduced dramatically, from 3–6 weeks to near-instant access for self-service users
- Analytics development cycles shortened to agile 1–2 week sprint timelines
- Global customer scalability achieved without adding engineering headcount
- Lower internal dependency on reporting teams and manual analytics workflows
- Improved customer satisfaction through faster access to insights and greater platform autonomy
These improvements not only enhance operational efficiency but also strengthen Cropin’s competitive positioning in the rapidly evolving agtech market.
Exploring AI-Powered Analytics Next
With the core analytics transformation in place, Cropin is now looking toward the next phase of innovation: generative AI and natural language analytics.
The company is actively exploring Sisense Intelligence, a suite of AI-powered capabilities that includes natural language querying and GenAI-driven report generation.
These tools could make analytics even more accessible by allowing non-technical users to ask questions in plain language and instantly receive data-driven answers or dashboards.
“We are looking forward to using Sisense Intelligence capabilities to build reports using natural language queries,” said Hegde.
This move aligns closely with broader industry trends, where conversational analytics and AI copilots are becoming central to enterprise software experiences.
A Model for Product-Led Analytics
For Sisense, Cropin represents a strong example of how embedded analytics can evolve from a supporting feature into a core product capability.
“Cropin is a strong example of how embedded analytics can become a core part of the product experience,” said Andrew Loomis, Vice President of Customer Success at Sisense.
“Their team has built a scalable platform that delivers actionable insights globally while maintaining operational efficiency as they grow.”
As food systems face mounting pressure from climate volatility, resource constraints, and rising global demand, companies like Cropin are proving that digital intelligence will be critical to the future of agriculture.
By combining AI-driven agronomy with scalable embedded analytics, Cropin is helping customers worldwide make smarter agricultural decisions—faster, more accurately, and at unprecedented scale.
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