
Consumer Goods – Boosting Sales with AI-Powered Financing Intelligence
Challenge
A leading electronics manufacturer with a nationwide sales force—including in-store promoters, retail staff, and partner reps—faced growing inefficiencies in resolving consumer finance-related queries. Questions about EMI eligibility, partner-specific offers, and escalation workflows were frequent. Responses relied on emails, WhatsApp messages, or manual lookups of outdated documents, causing delays, lost conversions, and inconsistent customer experiences across regions.
CORESight in Action
Query: Which EMI schemes are valid for this product? What are the eligibility rules? Where can I find the partner-specific terms and the escalation workflow?”
CORESight Workflow
- Extractor Agent ingests SOPs, partner guidelines, policy docs, and past query logs.
- Retriever Agent pulls context-specific content from the knowledge base using RAG architecture.
- Responder Agent uses an LLM fine-tuned on finance language to answer queries instantly.
- Context Agent filters answers by partner, region, tenure, and eligibility rules.
- Feedback Agent monitors thumbs-up/down to improve performance over time.
- Business Agent delivers:
- Real-time answers to over 90% of frontline finance queries
- Partner-specific schemes and escalation paths auto-resolved
- Common queries tagged for training and product team visibility
Customer Impact
- 90% faster query Resolution -— From hours to seconds
- 90% Higher Sales Conversions — Confident promoters, faster decisions
- Consistent Messaging — Across geographies and partner networks
- Improved SLA Compliance — With embedded escalation flows
- Self-Learning System — Accuracy improves with every interaction
CORESight Advantage
CORESight empowers frontline teams with instant, AI-powered access to product financing knowledge. By unifying policy documents, partner terms, and historical queries into a single intelligent assistant, it helps teams act faster, sell smarter, and deliver consistent, high-quality service — all through natural language.
