Supply-Chain Intelligence Platform

The Challenge

A garment manufacturer selling on Amazon was running two capable systems that did not talk to each other. Zoho Inventory handled procurement, stock management, and order fulfilment. Sellerboard tracked Amazon sales, fees, advertising spend, and profitability. Both platforms did their jobs — but the gap between them meant that neither could answer the questions management actually needed to ask.

Stock appeared adequate at the item level while specific sizes were out of stock. Sales figures differed between systems with no automated way to explain why. Product profitability calculations in Sellerboard relied on manually entered costs that did not include the full landed cost of an imported garment. Replenishment decisions required someone to reconcile warehouse quantities, Amazon FBA levels, open purchase orders, and sales velocity by hand — across multiple spreadsheets — before a reorder could be considered.

The client did not want to replace either system. They wanted the missing layer between them.

What We Built

An Integration, Reconciliation and Supply-Chain Intelligence Platform — a web-based application that sits between Zoho Inventory and Sellerboard and becomes the central reporting and decision-support layer for the business.

The platform imports data from both systems on a controlled, audited schedule. A central product and SKU mapping module resolves the identifier differences between Zoho item codes, Sellerboard SKUs, Amazon seller SKUs, and ASINs — including marketplace-specific mappings and the style, colour, size, and gender attributes that are fundamental to garment products. Every mapping is subject to manual approval, and the system raises alerts for unmapped or ambiguous SKUs rather than silently dropping records.

From that foundation, the platform provides consolidated inventory visibility — warehouse stock, Amazon FBA available, in-transit, reserved, and unfulfillable quantities shown together, broken down to variant level. A dedicated garment variant dashboard surfaces broken-size situations: cases where overall stock appears sufficient but a commercially important size is unavailable.

A reconciliation module compares Zoho and Sellerboard records systematically, surfacing discrepancies in units, values, dates, and refunds as exceptions requiring review rather than unexplained differences absorbed into a spreadsheet.

A landed-cost module calculates full unit cost across fabric, manufacturing, packaging, freight, duty, inspection, warehousing, and Amazon preparation — providing an accurate margin figure for every SKU and exposing the difference between the cost assumed in Sellerboard and the actual cost of bringing the product to market.

The replenishment workbench combines sales velocity, current stock across all locations, open purchase orders, supplier lead times, and profitability to generate recommended reorder quantities by style, colour, and size. Recommendations are reviewed and approved before draft purchase orders are written back to Zoho Inventory.

What It Delivers

• Consolidated view of warehouse, Amazon, in-transit, and reserved stock — by SKU, style, colour, and size — updated from both systems without manual intervention
• Broken-size alerts: immediate visibility when a garment style has size gaps that would cost sales, even if total stock appears healthy
• Automated reconciliation between Zoho and Sellerboard — discrepancies surfaced as exceptions, not absorbed into a spreadsheet
• Accurate landed cost per unit, replacing manually estimated COGS with a calculated figure that includes all production and logistics components
• Replenishment workbench with recommended reorder quantities based on demand, lead times, and profitability — approved recommendations create draft purchase orders directly in Zoho
• Full import audit trail — every data load tracked, validated, and reprocessable, with no silent failures or duplicate imports
• Management, inventory risk, profitability, and reconciliation dashboards — built for a business that sells garments on Amazon, not adapted from a generic template