
Cold Chain Logistics 2025: Market Forecast, Key Trends, and Future Outlook
The cold chain industry in 2025 is transforming with IoT, AI, and sustainability, driving global growth, compliance readiness, and consumer trust.
Most dairy losses in summer happen at the last mile, where lack of real-time visibility—not lack of refrigeration—creates hidden temperature risks.
The dairy operators who win in summer will not be the ones with better refrigeration—but the ones with better visibility into how it performs in real time.
It is a Saturday afternoon in late April. Outside, the temperature is 41°C. A dark store in a metro suburb is dispatching 600 orders. Demand for curd, paneer, lassi, and ice cream is running 40 percent above the weekly average. The refrigeration units are working harder than usual. The team is managing a surge of incoming and outgoing inventory. And at 3 PM, a batch of curd destined for evening delivery is found to have crossed its temperature threshold, not by much, but enough. It is pulled. The shrinkage cost hits the day’s margin. Two customer complaints arrive by evening.
No single thing went wrong. The equipment was functioning. The team was present. But the conditions that cause problems in peak summer, sustained ambient heat, high door-open frequency, overloaded bays, equipment running at the edge of its performance range, combined in a way that wasn’t visible until after the damage was done.
This is the specific failure mode of India’s dairy aisle in summer. It is not dramatic. It accumulates quietly, batch by batch, until it shows up in shrinkage, in customer returns, and in end-of-month margin.
In most parts of India, summer now means something categorically different from what it did a decade ago. Heatwave events that were once isolated to specific weeks are extending into multi-week periods. Peak temperatures that historically arrived in May are being recorded in March and April. And the compound effect, day after day of sustained heat with reduced nighttime cooling, is creating ambient conditions that cold storage infrastructure was not always designed to manage continuously.
For the dairy sector, this matters more than in almost any other food category. Milk-derived products, curd, paneer, buttermilk, flavoured milk, ice cream, operate within tight temperature bands and degrade faster than most chilled or frozen categories when those bands are breached. A temperature excursion that might reduce the shelf life of a packaged snack by 20 percent can make a curd pot unsaleable within hours.
At the same time, demand for value-added dairy peaks precisely during the months when temperature management is hardest. Curd and lassi volumes spike in summer. Ice cream and frozen dessert sales run at annual highs. The category that requires the most consistent cold chain control is under its highest demand and its most extreme environmental stress simultaneously.
India’s dairy cold chain has improved dramatically over the past decade. Bulk milk cooling at the procurement stage has expanded significantly. Processing and large-scale cold storage infrastructure has modernised. Multi-temperature transport has grown. The upstream cold chain is substantially better than it was.
But the dairy aisle sits at the very end of that chain. And the last mile, from the delivery vehicle to the storage unit to the display shelf, is where investment has been thinnest and visibility has been lowest.
In supermarkets, hypermarkets, and quick commerce dark stores, the dairy aisle or the chilled room is typically the most operationally demanding zone in the facility:
None of these conditions, on its own, necessarily causes a failure. Together, during a sustained heat period, they create the environment in which failures become likely, and in which the time between the start of a problem and the discovery of it determines whether the response is corrective or whether it is already too late.
Most retail and quick commerce operations that experience summer dairy losses do not have inadequate refrigeration infrastructure. They have adequate refrigeration infrastructure that is operating without continuous visibility into its own performance.
Manual temperature checks, the standard operating procedure in most stores, are conducted at fixed intervals: once in the morning, once in the afternoon, sometimes once at close. In stable conditions, this is sufficient. In peak summer, with ambient temperatures above 40°C and equipment running under sustained load, a lot can change between checks.
The consequence of this visibility gap is measurable. Industry estimates for chilled dairy shrinkage in Indian retail during summer months typically range between 1.5 and 3.5 percent of category throughput value, a figure that, for a mid-size supermarket chain running ₹50 lakhs per month in dairy sales, represents ₹75,000 to ₹1.75 lakhs of preventable monthly loss during the peak season alone.
And shrinkage is only part of the exposure. Products that have been temperature-compromised but not yet visibly spoiled may reach the customer, generating complaints, returns, and the reputational cost of a trust breach in a category where freshness is the primary purchase driver.
The operational shift required to manage the dairy aisle through peak summer is not primarily a capital investment. Most of the infrastructure needed, refrigeration units, chilled storage, temperature controls, already exists. What changes is the standard for how that infrastructure is managed.
The interval between manual checks is the window in which undetected temperature drift creates product loss. Continuous monitoring, where every refrigeration unit and chilled display is tracked in real time, collapses that window from hours to minutes. An excursion that begins at 11:15 AM is flagged by 11:20 AM, not discovered at the 2 PM manual round. The difference between those two moments is the difference between a corrective action and a write-off.
A retail chain or quick commerce operator managing 20 or 50 locations during peak summer cannot afford to manage dairy performance location by location, check by check. The operations head needs a view of which units are running above threshold, which are showing early signs of performance degradation, and which locations are carrying the highest stock risk, in one view, updated continuously.
Without this visibility, summer dairy performance is managed reactively: issues are discovered through complaints, spot checks, or end-of-day stock counts. With it, issues are identified before they become losses, and interventions are triggered at the asset level, not at the category level.
A refrigeration unit running at the edge of its performance range during a 42°C peak day is showing signals before it fails: longer compressor cycle times, slower temperature recovery after door-open events, higher power draw than baseline. These signals, visible in continuous performance data, are the early warning that a maintenance intervention is needed, before the unit creates a temperature incident, not after.
In peak summer, the cost of an unplanned refrigeration failure during a high-demand period, in spoiled stock, emergency service call, and lost sales, significantly exceeds the cost of the preventive maintenance that would have avoided it.
Readiness for peak summer is not defined by the specification of the equipment in the dairy aisle. It is defined by the quality of the information available to the people responsible for managing it.
| Operational Dimension | Not Summer-Ready (Reactive Operations) | Summer-Ready (Predictive Cold Chain) |
|---|---|---|
| Temperature monitoring | Temperature issues discovered at the next manual check | Temperature deviations flagged within minutes of onset |
| Inventory & shrinkage visibility | Shrinkage counted at end of day or end of month | Stock at risk identified before it becomes a write-off |
| Equipment performance tracking | Equipment failures discovered when performance has stopped | Equipment stress identified and addressed before failure |
| Dairy loss management | Dairy loss managed as an accepted seasonal cost | Dairy loss tracked as a controlled, reducible metric |
| Operational response model | Store teams responding to problems | Operations teams preventing them |
| Performance feedback signals | Consumer complaints as the primary feedback signal | Real-time asset data as the primary performance signal |
The retailers and quick commerce operators who will protect their dairy margins this summer are not necessarily those with the newest equipment. They are those with the best visibility into how their existing equipment is performing, and the fastest response time when it is not performing well enough.
That advantage compounds across a network. A chain with 30 stores operating with continuous dairy aisle visibility will identify and resolve temperature issues faster, lose less stock, receive fewer consumer complaints, and enter the post-summer period with stronger brand trust in the category than a competitor managing the same infrastructure without it.
DATOMS provides continuous asset-level monitoring for chilled and frozen dairy storage across retail stores and quick commerce dark stores, with real-time alerts, remote visibility across locations, and early identification of equipment under stress.
Speak to the DATOMS team before peak summer arrives, not after your first shrinkage report.

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