Global Agriscience Leader Drives Revenue Growth and Partner Efficiency with AI-Powered Rebate Management

How a Global Agriscience Leader Increased Revenue with AI-Driven Rebate Management

About the Client: Corteva Agriscience – a global agricultural company focused on seed, crop protection, and digital solutions.

Business Challenges: Lack of predictive intelligence in managing rebate schemes across geographies, leading to delayed sales decisions, suboptimal profit margins, and inefficient partner segmentation.

Our AI-Powered Rebate Management Solution: InovarTech developed and implemented G2N – an AI/ML-driven rebate optimization and analytics platform integrated with Corteva's existing ecosystem and prepared for global rollout.

Results Achieved: Achieved 96% scheme prediction accuracy, 25% additional revenue potential, 80% faster scheme update cycles, and 20–30% improved margin realization through smarter partner targeting.

About the Client: Corteva Agriscience – a global agricultural company focused on seed, crop protection, and digital solutions.

Client: A leading Omni-channel fashion retailer with 600+ stores from South Asia.

Challenge: Inefficient support operations burdened by high ticket volume, diverse incidents, and rising customer dissatisfaction.

Solution: InovarTech's Agentic AI-powered Self-Service Agent platform, leveraging Microsoft Copilot Studio.

Results: 30% reduction in support tickets, significant decrease in escalations, 15% growth in repeat business, and enhanced customer loyalty.

About the Client: Corteva Agriscience – a global agricultural company focused on seed, crop protection, and digital solutions.

agriscience AI solutions

revenue optimization

Azure cloud solutions

rebate management software

predictive analytics in agriculture

The Challenge: Optimizing Partner Incentives Across a Global Landscape

Corteva's commercial and sales operations in India, Singapore, and the US were struggling with rebate scheme optimization and visibility across partners and geographies. Key issues included:

Static Rebate Structures: Schemes were being rolled out based on historical intuition rather than predictive data, limiting Corteva's ability to tailor incentives for high- and low-performing partners.

Human Error: Manual monitoring of PPE compliance was labor-intensive and prone to oversight.

Delayed Sales Enablement: Sales teams lacked timely access to optimized schemes, affecting campaign performance and revenue realization.

Fragmented Data: Multiple, siloed data sources across regions hindered Corteva's ability to analyze, predict, and improve scheme effectiveness.

Limited Forecasting: The absence of AI-led analytics meant missed opportunities to maximize margins and reduce ineffective promotions.

The InovarTech Solution

G2N—Predictive Rebate Intelligence Built for Global Scale

InovarTech collaborated closely with Corteva's commercial effectiveness and sales leadership to design and implement G2N (Gross-to-Net) Rebate Management Tool—a predictive AI and ML platform built for operational intelligence and global expansion.

Implementation Approach

Design-Led Development: In-depth workshops and stakeholder discovery to define user stories, data models, and value metrics.

Agile Delivery with SAFe Framework: Scrum teams delivered incremental value in 2-week sprints, incorporating user feedback continuously.

Modern Tech Stack: Azure Cloud, Synapse, Spark, Python ML models, Power BI, and DevOps toolchain (Azure DevOps, Selenium, ADO Boards).

Seamless Integration: Unified with SAP, D365, and Corteva's ecosystem to support cross-functional insights and decision-making.

Cloud Flexibility: Deployed in a flexible Azure environment to support both internal testing and final client hosting with ease.

Core Capabilities

Predictive Scheme Optimization: AI models trained on historic data to forecast the most effective rebate scheme per product and geography.

Behavioral Partner Segmentation: Tracked distributor behavior and buying patterns to fine-tune promotional levers and margins.

Visual Analytics: Interactive dashboards and comparative analysis tools empowered regional teams with data-driven decisions.

Global Readiness: Architecture designed for phased rollout across territories with evolving data maturity.

Core Capabilities:

Predictive Scheme Optimization: AI models trained on historic data to forecast the most effective rebate scheme per product and geography.

Behavioral Partner Segmentation: Tracked distributor behavior and buying patterns to fine-tune promotional levers and margins.

Visual Analytics: Interactive dashboards and comparative analysis tools empowered regional teams with data-driven decisions.

Global Readiness: Architecture designed for phased rollout across territories with evolving data maturity.

The Results: Smarter Rebates, Higher Revenue, Greater Efficiency

The G2N solution delivered substantial improvements to Corteva’s commercial strategy:

Outcome

Impact

96% Scheme Prediction Accuracy

Enabled rollout of optimal rebate schemes across regions and products.

25% Revenue Uplift

Enabled rollout of optimal rebate schemes across regions and products.

80% Faster Scheme Turnaround

Reduced delay in communicating schemes to field teams, improving agility.

20–30% Margin Gains

Insights into partner behavior helped tweak rebate variables and optimize profitability.

80% Operational Efficiency

Unified system reduced manual efforts and streamlined rebate management end-to-end.

Outcome

Impact

96% Scheme Prediction Accuracy

Enabled rollout of optimal rebate schemes across regions and products.

25% Revenue Uplift

Enabled rollout of optimal rebate schemes across regions and products.

80% Faster Scheme Turnaround

Reduced delay in communicating schemes to field teams, improving agility.

20–30% Margin Gains

Insights into partner behavior helped tweak rebate variables and optimize profitability.

80% Operational Efficiency

Unified system reduced manual efforts and streamlined rebate management end-to-end.

“

The G2N tool developed by InovarTech has redefined how we manage rebates across markets. With AI-backed predictions and real-time insights, we’ve been able to drive better alignment between our commercial goals and partner performance – resulting in real business impact.

"I set up a consultation and was blown away by how professional and helpful my advisor was. Highly recommend this service to everyone."

Director, Commercial Effectiveness

The Future: Scaling AI for Global Agri-Intelligence

Corteva’s vision is to institutionalize data-driven rebate decisions across all product lines and geographies. With the success of G2N in India and Singapore, the platform is being rolled out to additional regions, leveraging historical data to drive smarter pricing and promotional strategies globally.

InovarTech’s G2N solution exemplifies how AI can transform partner performance management and drive sustainable revenue growth in the agriscience industry.

Ready to Transform Your Rebate Management?

Talk to our experts at InovarTech to explore how we can help your organization achieve next-level partner performance and revenue growth with AI-powered solutions.

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