01. Context
The Challenge
The brand had expanded rapidly, but its back office had not kept pace. Orders came in through three channels and were processed using five disparate tools: Shopify, Google Sheets for inventory, WhatsApp for customer enquiries, Tally for accounts, and a courier interface for shipment. Nobody set out to create a disorganised system. It developed one workaround at a time. When we audited the business for two weeks, we discovered problems clustered in four places: Inventory mismatches. The stock was manually updated at the end of each day. On busier days, the website continued to sell things that were already out of stock. Approximately 4% of purchases were oversold, resulting in cancellations, apologies calls, and reimbursements. Order input errors. Amazon and Instagram orders were re-entered into the shipping portal. Wrong pin codes, transposed phone numbers, and incorrect SKUs resulted in failed deliveries and RTOs. Payment reconciliation gaps. COD remittances from couriers rarely matched order data. The accounts team spent nearly a week per month chasing discrepancies, and some short payments were never collected. Customer context was lost. Support agents were unaware of order history. Customers repeated themselves, reimbursements were granted twice, and repeat buyers did not receive any follow-up. The originator evaluated the monthly damage by adding it all together. Our analysis revealed a yearly leakage of almost ₹25 lakh, or nearly $30,000 per month, including refunds, reshipping charges, RTO losses, unrecovered COD shortages, and staff hours spent addressing mistakes. The founder's statements at the kickoff call: "We're not losing money because sales are down. We're losing it in the spaces between our tools."
02. Solution
How We Solved It
The brand had expanded rapidly, but its back office had not kept pace. Orders came in through three channels and were processed using five disparate tools: Shopify, Google Sheets for inventory, WhatsApp for customer enquiries, Tally for accounts, and a courier interface for shipment. Nobody set out to create a disorganised system. It developed one workaround at a time. When we audited the business for two weeks, we discovered problems clustered in four places: Inventory mismatches. The stock was manually updated at the end of each day. On busier days, the website continued to sell things that were already out of stock. Approximately 4% of purchases were oversold, resulting in cancellations, apologies calls, and reimbursements. Order input errors. Amazon and Instagram orders were re-entered into the shipping portal. Wrong pin codes, transposed phone numbers, and incorrect SKUs resulted in failed deliveries and RTOs. Payment reconciliation gaps. COD remittances from couriers rarely matched order data. The accounts team spent nearly a week per month chasing discrepancies, and some short payments were never collected. Customer context was lost. Support agents were unaware of order history. Customers repeated themselves, reimbursements were granted twice, and repeat buyers did not receive any follow-up. The originator evaluated the monthly damage by adding it all together. Our analysis revealed a yearly leakage of almost ₹25 lakh, or nearly $30,000 per month, including refunds, reshipping charges, RTO losses, unrecovered COD shortages, and staff hours spent addressing mistakes. The founder's statements at the kickoff call: "We're not losing money because sales are down. We're losing it in the spaces between our tools."
03. Impact
Results
We compared results to the three months preceding launch, using the client's own records rather than projections. Overselling decreased from 4% to less than 0.5 percent of orders. Live inventory sync eliminated the majority of cancellations and apology reimbursements. RTO and unsuccessful deliveries decreased by almost 30%. Address checking and clean order data resulted in fewer incorrect-address shipments. This alone saved a large amount of money on shipping and reshipping fees. COD reconciliation reduced from five to six days every month to around half a day. The accounts team also recovered short payments that might otherwise have gone unreported. Support handling time decreased by approximately 35%. Agents no longer had to ask customers to repeat facts, and duplicate refunds were eliminated totally. The repeat purchase rate increased by 11%. With consumer information in one place, the team began delivering timely reorder reminders and customised offers. The net effect is around $30,000 per month in prevented errors and regained revenue. This resulted from lesser reimbursements, fewer RTOs, recovered COD shortages, and less manual labour. The system took about 4 to 5 months of those savings to create, thus the investment compensated for itself inside the first half year. The team did not lay off anyone. Two employees transitioned from data entry to client retention and vendor management, which the entrepreneur deemed the more worthwhile outcome.
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