India’s retail boom is hiding a Rs 2,000 crore problem

India’s organised retail sector may be growing fast, but beneath the surface, a costly operational gap is quietly eating into profits.

According to a report by ClickPost, a logistics intelligence platform that tracks delivery and supply chain data, inefficiencies in internal logistics are creating what it calls an “invisible tax” of over Rs 2,000 crore every year.

The findings are based on data from 48 omnichannel brands using its platform, covering more than 15,000 stores and 7.2 million shipments between January 2025 and January 2026.



Retailers have become highly efficient at delivering products to customers. But moving inventory within their own networks is still slow and messy.

This includes shifting unsold goods between stores and warehouses. Delays, manual processes and poor coordination mean inventory takes longer to move, locking up working capital.

The problem becomes obvious during peak sales.

In one case, a 150-store fashion brand saw the time taken to return unsold inventory jump from 0.2 days to 13 days during end-of-season sales.

In January alone, the brand handled Rs 6 crore worth of returns, or 72% of its seasonal movement. Delays tied up Rs 2.6 crore in working capital. Even after the peak, timelines stayed high at six days, showing this is not just a seasonal issue.

The pressure builds sharply during end-of-season sales, when volumes surge.

The report estimates that around Rs 200 crore was stuck during one sale period due to delays in internal pickups, even though warehouses and logistics partners were ready.

Over a year, this rises to more than Rs 2,000 crore across the sector.

A big reason is that most brands still rely on manual systems. About 85% use emails and spreadsheets to manage internal logistics, making the process up to five times slower than automated systems.

For large retail chains, this can mean delays of up to two weeks and losses of Rs 40–50 lakh per sale cycle. Over time, that can cross Rs 1 crore, excluding lost sales.

The gap is also clear in performance. Manual systems manage only 30–40% successful pickups on the first attempt, compared to over 90% for automated systems.

The problem is getting worse as retail itself changes.

Fashion cycles have shrunk from about 90 days to just 15–20 days. That leaves very little room for delays. By the time inventory reaches warehouses, it may already be outdated.

At the same time, sale periods now see volumes jump three to four times, putting extra strain on already weak systems.

Retail networks have also become more complex, often involving eight or more points such as stores, warehouses and hubs, making coordination harder without automation.

These gaps are showing up in daily operations. Invoice errors happen in 10–15% of cases, leading to about 1,500 disputes every month. Teams spend nearly 65 hours a day fixing these issues.

More importantly, delays in moving inventory lead to 8–12% of potential sales being lost during peak periods.

The report suggests the next big advantage in retail will not come from faster delivery to customers, but from faster movement of inventory within networks.

Brands still relying on manual systems are losing between Rs 5 crore and Rs 15 crore every year due to inefficiencies. Across the sector, that adds up to a Rs 2,000 crore hit annually.

As a logistics intelligence platform, ClickPost’s insights are based on data from brands using its systems. But the patterns point to a wider issue across organised retail.

For an industry that has mastered the customer experience, the real problem now lies behind the scenes.

Source

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