Unfair Gaps🇮🇳 India

Wholesale Raw Farm Products Business Guide

26Documented Cases
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All 26 Documented Cases

भंडारण में नमी संकुचन हानि (Storage Moisture Shrinkage Loss)

Per 1000 quintals stored: ₹2-8 lakhs annually. Moisture shrink factor ranges 1.18%-1.5% per moisture-point reduction. GST ITC matching delays: 20-40 manual flagging hours/month per facility = ₹40,000-80,000 in compliance labor annually.

In Indian wholesale raw farm products (grains, pulses, oilseeds), stored inventory shrinks due to moisture loss. Each 1% moisture reduction causes approximately 1.18% weight loss in corn and higher in soybeans. Manual shrinkage calculations create three financial bleeds: (1) Revenue leakage—unbilled shrinkage absorbed by traders; (2) GST compliance risk—incorrect invoice quantities trigger GSTR-2B ITC mismatches and manual flagged invoice resolution; (3) Inventory valuation errors—ending stock understated, COGS overstated.

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गुणवत्ता विफलता से AGMARK अस्वीकृति

₹5-10 लाख per rejected lot (rework + lost sales); 2-5% revenue loss from quality rejections

Manual grading inaccuracies in moisture, protein, foreign matter cause AGMARK certification failures, resulting in rejected batches, rework, and lost revenue from ungradable commodities.

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MSP संरचना और मूल्य सत्यापन में कानूनी अनुपालन विफलता

₹1,000-5,000 penalty per failed MSP verification incident; potential farmer compensation claims of ₹500-2,000 per lot; audit costs ₹50,000-200,000 per compliance breach investigation

Under Price Deficiency Payment (PDP) scheme, when market auction price falls below notified MSP, the difference must be paid directly to farmers' bank accounts within prescribed timelines. Manual price verification against MSP databases (updated by government) creates audit trail gaps. Traders operating across multiple state APMCs must track state-specific MSP rates, creating documentation burden.

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संकुचन गणना में डेटा दृश्यता की कमी (Lack of Shrinkage Data Visibility)

₹5-15 lakhs monthly per mid-sized trader (500-2000 MT capacity). Estimated 2-4% margin leakage from mispriced commodity sales due to shrinkage invisibility.

Wholesale raw farm product businesses in India typically rely on manual shrinkage estimation (often using static 1.2%-1.5% factors) rather than actual measured moisture data. This creates delayed decision-making: (1) Pricing errors—sales invoiced at initial wet weight without accounting for measured shrinkage; (2) Inventory mispricing—batch cost calculations ignore actual moisture loss; (3) Customer disputes—claims of short-delivery because shrinkage not communicated upfront; (4) Lost arbitrage—cannot optimize moisture content timing for price hedging.

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