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Commercial and Product Companies

Moving Goods. Managing Stock. Staying Profitable.

We build operational infrastructure for distributors, wholesale traders, and commercial businesses, covering inventory, credit, schemes, and supplier management.

Introduction

Infrastructure for Businesses That Move Goods at Scale

The commercial distribution sector runs operations of significant complexity on infrastructure that was adequate when the business was smaller. Stock visibility lags behind actual movement. Credit exposure is tracked manually. Scheme calculations run at period end from data maintained inconsistently across the period.

Pagoda Labs has built operational infrastructure for commercial and distribution businesses in Nepal, addressing the specific data and workflow problems that this sector produces at scale. Our solution is engineered to accommodate the unique operational needs and regulatory frameworks of the commercial and production sector, enabling organizations to operate confidently across multiple regions worldwide.

Real-Time Stock Visibility

Monitor inventory across central warehouses, regional depots, and field inventory as movements happen across all locations.

Credit and Receivables Management

Track outstanding balances, payment due dates, and credit limit utilization per customer in real time.

Scheme and Incentive Engine

Run volume-based incentive calculations against live sales data continuously rather than reconstructing them at period end.

Purchase-to-Pay Workflow

Connect purchase orders, goods receipts, and supplier invoices in a single workflow with automatic discrepancy flagging.

Sales Force Management

Track field sales activity, retailer visit schedules, and order collection against targets across your distribution network.

Data

How We Help Commercial and Distribution Businesses

+65% Faster Stock Reconciliation

Real-time inventory tracking eliminates the manual stock count and reconciliation cycle across locations.

+50% Reduction in Credit Disputes

Live receivables tracking reduces discrepancies between what was sold, collected, and outstanding.

+45% Admin Time Saved

Automated purchase-to-pay and scheme calculation workflows replace manual data reconstruction at period end.

Himalaya Auto Traders – Dealer Management System Transformation
Case Study

Himalaya Auto Traders – Dealer Management System Transformation

View Case Study

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