Enabling Real-Time Sales Intelligence for Rural and Field-Based TeamsAutomotive
Focused on transforming field-based sales processes, they developed Scribe—a mobile application designed to empower on-ground sales agents, particularly in the agriculture sector. The solution enables seamless data capture through voice input, reducing manual errors and improving overall efficiency in rural sales environments.
challenge
Limited Digital Literacy: Farmers are generally not tech-savvy, requiring in-person conversations to determine needs for fertilizers, harvesters, and other inputs.
Manual Data Capture: Sales reps manually recorded farmers’ requirements during quarterly visits, often using paper-based notes.
High Risk of Errors: Manual processes led to frequent data loss, transcription errors, and mismatches between requested and delivered goods.
Fragmented Coordination: Coordination between field agents and warehouse/back-office teams was time-consuming and inconsistent.
solution
Strategic Tech Partnership: Partnered as our client’s first technology provider, responsible for building and managing the complete backend infrastructure.
Robust Backend Architecture: Built the backend using C# and .NET (CLR), with RavenDB for document-based data storage and Redis for real-time caching.
Real-Time Audio Transcription: Integrated OpenAI Streaming API for real-time audio-to-text transcription, where voice notes are streamed and converted to text as the conversation happens.
Domain-Specific AI Models: Trained custom AI models to recognize domain-specific vocabulary relevant to agriculture and field sales.
Contextual AI Responses: Implemented Retrieval-Augmented Generation (RAG) to deliver contextual, conversational responses for order tracking and follow-ups.
Automated Order Structuring: Automated the creation of structured order lists from transcribed conversations, improving backend coordination.
Seamless Frontend Integration: Ensured seamless backend integration with the client’s Flutter-based mobile and web frontend.
Outcomes
Significant Drop in Order Errors: 70% reduction in order errors, driven by real-time, AI-based audio transcription.
Faster Order Fulfillment: 2x faster order fulfillment cycle, enabled by automated backend workflows and warehouse integration.
Reduced Sales Visit Time: 40% decrease in time per sales visit, as manual note-taking was replaced with voice-driven automation.
Improved Sales Visibility: 50% increase in sales activity visibility, through structured tracking of conversations and transactions.
Higher Customer Satisfaction: 30% improvement in customer satisfaction, with fewer delivery mismatches and timely follow-ups.
Stronger Investor Confidence: Reinforced investor trust with a high-performance backend built for scale and growth.
Scalable Growth Readiness: Established a robust foundation for confident expansion into other field-centric sales ecosystems.
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