Fatima Zehra@FatimaZehra

The Problem Small and medium enterprises (SMEs) in emerging markets manage over 70% of their operations using physical paperwork, manual ledgers, and fragmented supply chains. This reliance on analog processes leads to severe stockouts, customer churn, and a complete lack of forecasting, causing SMEs to leak up to 30% of their potential annual revenue. Legacy ERP systems fail here because they demand high digital literacy, steep upfront costs, and manual data entry that traditional store owners cannot sustain. The Solution: MarketMaster AI MarketMaster AI is an autonomous, multi-agent B2B retail digitization and automation platform that bridges this analog-to-digital divide. Powered natively by IBM WatsonX Granite (Granite-3-8b-Instruct and Granite-3-2b-Vision) and developed with the assistance of IBM Bob, the platform features four specialized AI agents operating in an autonomous ReAct tool-calling loop: IBM Bob Agent (Vision-to-Code & NL2SQL): Users take a photo of a physical delivery challan or invoice. The agent extracts structured data, updates the database via secure SQL mutations, and enables natural language querying (NL2SQL) in English or Urdu. Stock Sentinel Agent: Predicts stockouts based on sales velocity and automatically drafts optimized purchase orders. Sales Scout Agent: Monitors customer purchase patterns to detect early signs of buyer churn and flags attrition risks. Market Agent: Provides competitive external intelligence and localized pricing optimization strategies. Technical Implementation & Value Built on React 19, TypeScript, and Express, the platform replaces manual logs with automated webhooks and n8n background workflows. Security. By targeting the 40 million retail and wholesale SMEs in emerging markets, MarketMaster AI cuts administrative overhead by 60%, eliminates human error, and recaptures lost sales through immediate inventory replenishment and autonomous customer re-engagement.

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