What a dark store is and why its risk profile is distinct
The 10-minute grocery model, run by operators such as Blinkit, Zepto and Swiggy Instamart and their peers, depends on a physical asset that did not exist at scale in India a few years ago: the dark store, a small, densely-stocked micro-fulfilment centre sited inside residential catchments, closed to the public, from which order-pickers assemble baskets and delivery riders dispatch them within minutes. A single operator runs hundreds of these across a city footprint, and the network is expanding continuously as the model races for coverage and order density.
The dark store is not a shop, not a warehouse, and not a restaurant, but it carries risk elements of all three plus its own. It packs a large value and variety of stock, including chilled and frozen food, into a small floor area for fast picking. It sits in or near residential buildings, so a fire or incident has a public and third-party dimension a remote warehouse does not. It operates long hours, often close to 24 hours, with continuous footfall of riders and frequent stock replenishment. It increasingly hosts a fleet of electric two-wheelers that are charged on or near the premises. And it handles food, which brings product-safety exposure. This combination produces a risk profile that does not fit any standard occupancy neatly, which is precisely why it deserves a dedicated profile.
Two structural features amplify the risk. The first is the speed of scaling: the operator opens stores faster than mature risk controls can be embedded, so fire-safety, electrical, charging and inventory controls vary widely across a network and the weakest store sets the loss frequency. The second is the concentration created by density: many stores in a city, many riders, large daily order volumes and significant stock value mean that frequency losses (small fires, thefts, rider accidents, food complaints) accumulate, and a single severe event (a store fire with injury, a food-safety incident, a serious rider accident) can be material. For an underwriter and a risk manager, the dark store is a high-frequency, fast-changing risk where the quality and consistency of controls across a large network is the central question.
Regulatory expectations around quick-commerce dark stores, including fire-safety classification of these mixed-use premises, on-site EV charging safety, and food-safety obligations under the FSSAI framework, are still developing as the model is new. A fast-scaling operator should not assume its store estate is uniformly compliant, and an underwriter should probe how consistently controls are applied across the network rather than relying on a single flagship site.
Fire: dense stock, electrical load and on-site EV charging
Fire is the most material single peril for a dark store, and it is driven by a combination of factors that are individually manageable but collectively demanding.
Dense stock and small footprint
The dark store packs a high stock density into a small space to enable fast picking, which means a fire has abundant fuel close together and can develop quickly with limited separation between goods. Packaging, plastics and combustible consumer goods add to the fire load. The small footprint that makes picking efficient also means escape routes and aisle widths can be tight, which matters where staff and riders are present, and where the store sits within a residential building the fire threatens occupants above and around it.
Electrical load
The dark store runs continuous refrigeration and freezing for chilled and frozen stock, lighting, and increasingly charging infrastructure, often in premises whose original electrical installation was not designed for this sustained load. Overloaded circuits, poor-quality wiring, and inadequate maintenance of refrigeration plant are classic ignition sources, and the long operating hours give faults more time to develop. Electrical fire is a leading cause across Indian commercial premises, and the dark store's load profile concentrates the exposure.
On-site EV battery charging
The distinctive and fast-growing fire concern is the charging of electric two-wheeler batteries on or near the premises. Lithium-ion battery fires are a specific and serious hazard: a battery in thermal runaway burns intensely, is hard to extinguish with conventional means, can reignite, and releases toxic and flammable gases. Where riders' EV batteries are charged inside or immediately adjacent to a densely-stocked store, often using mixed or sub-standard chargers, in spaces not designed for battery charging, the combination of a high-energy ignition source and a high fire load in a small space is exactly the scenario underwriters are most wary of. The risk is heightened by swappable-battery and informal charging arrangements where charging is uncontrolled.
Controls that change the risk
The fire risk is materially reduced by controls an underwriter will look for: a properly designed and maintained electrical installation sized for the actual load; dedicated, segregated, well-ventilated battery-charging areas physically separated from stock and from escape routes, ideally with appropriate detection and suppression and the use of approved chargers and batteries; smoke and heat detection and appropriate fire-fighting provision; clear and unobstructed escape routes; and a consistent fire-safety regime applied across the whole store estate rather than to a few sites. The gap between operators that embed these controls network-wide and those that do not is the single biggest differentiator of the fire risk.
Stock, burglary and the shrinkage and internal-fraud problem
After fire, the dark store's property and crime exposures centre on its stock, which is valuable, fast-moving, partly perishable, and handled by a large and high-churn workforce.
Stock value and perishability
A dark store holds significant stock value in a small space, and a meaningful share is perishable, chilled and frozen food, fresh produce, dairy, that is vulnerable not only to fire and theft but to refrigeration failure and power outage. A breakdown of refrigeration plant or an extended power cut can spoil an entire chilled and frozen holding, which is a deterioration loss distinct from physical damage and which may require specific cover (deterioration of stock following machinery breakdown or power failure) rather than being picked up by a standard fire policy. For an operator running chilled stock across hundreds of stores, refrigeration reliability is both an operational and an insurance concern.
Burglary and theft
The dark store holds attractive, easily-resold consumer goods, often in residential areas, operating at all hours, which creates a burglary and theft exposure. Physical security (access control, alarms, CCTV, secure storage of high-value lines) reduces it, and burglary cover responds to forcible-entry theft, but the more insidious loss is usually internal.
Shrinkage and internal fraud
The most persistent crime exposure in quick commerce is shrinkage: the steady leakage of stock through internal theft, picking and dispatch manipulation, collusion between staff and riders, returns and refund fraud, and order manipulation. A high-volume, fast-paced operation with a large, high-turnover, lightly-supervised workforce handling valuable goods is structurally prone to shrinkage, and the cumulative cost across a large network can exceed the cost of any single insurable event. Some of this is insurable, employee dishonesty resulting in identifiable loss can fall within fidelity guarantee or crime cover, but much shrinkage is operational leakage that insurance does not respond to because it cannot be tied to a specific dishonest act and proven, and because cover responds to proven dishonesty, not to general inventory loss. The honest position is that shrinkage is primarily a controls problem (inventory discipline, picking and dispatch verification, CCTV, audit, access control, analytics on anomalies) and only secondarily an insurance one. An operator that expects a crime policy to absorb general shrinkage will be disappointed; the policy responds to provable dishonesty, and the rest must be managed operationally.
Public, product and food-safety liability
The dark store's liability exposures are broader than a remote warehouse's because it interfaces with the public, with food, and with a delivery operation that puts the operator's riders and goods into public spaces.
Public liability
Though closed to customers, the dark store has third-party exposure through its location and operations. A fire or incident at a store within a residential building can cause injury and property damage to occupants and neighbours. Riders, delivery staff and visitors on or around the premises can be injured. Operations spilling onto the street, rider parking, loading, congregation, can create third-party injury and nuisance exposure. Public liability cover responds to the operator's legal liability for third-party injury and property damage arising from its premises and operations, and given the residential siting and continuous activity, this is a core cover rather than an afterthought.
Product and food-safety liability
The dark store handles, stores and dispatches food, which brings product liability and specifically food-safety exposure. If a customer is harmed by food that was contaminated, spoiled, mishandled in the cold chain, expired, or otherwise unsafe when dispatched from the store, the operator can face liability and regulatory consequences under the food-safety regime administered by the FSSAI. The cold chain is the critical control: chilled and frozen food that experiences a temperature excursion during storage or dispatch can become unsafe, and the speed of the model means food moves fast but also that a systemic cold-chain or handling failure can affect many orders quickly. Product-liability cover responds to the operator's liability for harm caused by unsafe product, but it sits alongside, and does not replace, rigorous food-safety controls (cold-chain integrity, expiry and date management, hygiene, traceability) and FSSAI compliance. Where the operator sells own-label or prepared items, the product exposure is greater than for sealed third-party packaged goods, where liability may be shared with or shifted to the manufacturer.
Delivery-rider third-party injury
The delivery operation creates one of the model's largest liability exposures: riders on two-wheelers, often under time pressure to hit delivery-time promises, riding through dense traffic at volume. Rider road accidents can injure third parties (pedestrians, other road users) and damage third-party property, creating liability that may attach to the operator depending on the rider's employment or engagement status and the circumstances. The rider's own injury is a separate exposure addressed below. The third-party-injury dimension of rider accidents is a significant and high-frequency liability exposure that the operator's liability programme and the rider's motor cover have to address between them, and the allocation depends on the contractual and employment structure of the rider relationship.
Rider and fleet exposure and business interruption
Two further exposures, the welfare of the delivery riders and the continuity of the operation, complete the dark store's risk picture and are where the human and financial stakes concentrate.
Rider injury and the employment-status question
Delivery riders are the operation's most exposed people: on the road for long hours, under time pressure, on two-wheelers, in heavy traffic and adverse weather. Rider road-accident injury and death is a high-frequency, high-severity human exposure. How it is insured depends heavily on the rider's status, which in the gig model is often contested. Where riders are employees, the operator has obligations under labour law including workmen's/employees' compensation, which workers-compensation cover addresses. Where riders are engaged as gig or independent partners, the position is more nuanced and evolving, including under the social-security framework that is extending protections to gig and platform workers, and the operator's responsibility and the appropriate cover (personal accident, group personal accident, compensation cover) have to be worked out against that framework and the actual engagement terms. Many platforms provide personal-accident and insurance benefits to their riders as part of the engagement, and getting this cover right, both for the riders' welfare and the operator's exposure, is a defining feature of the programme. The rider's two-wheeler also needs motor cover (own damage and third-party), and whether that sits with the rider or the operator depends on who owns the vehicle and how the fleet is structured.
Fleet exposure
Where the operator owns or controls a fleet of delivery vehicles (increasingly electric two-wheelers), the fleet carries motor own-damage and third-party-liability exposure, and the EV fleet adds the battery-fire and battery-replacement dimension. Fleet motor cover, structured for a large two-wheeler fleet, is part of the programme, and the EV characteristics (battery value, fire risk, charging) feed back into both the motor and the property/fire underwriting.
Business interruption and contingent BI
A dark store that suffers a fire, a major refrigeration failure or a forced closure stops generating orders, and because the model depends on dense local coverage, the loss of a store removes capacity in its catchment. Business interruption cover can respond to the loss of revenue following an insured physical-damage event at the store, and the indemnity period should reflect the realistic time to find and fit out a replacement store and rebuild local order density, not just to repair the damaged premises. The network structure also creates contingent exposures: dependence on central dark-store infrastructure, on technology platforms, on key suppliers and on third-party logistics can interrupt the operation without physical damage at the store, and contingent business interruption and the relevant extensions may be needed to address dependencies the standard BI trigger would miss. For a business whose entire proposition is uninterrupted availability, continuity cover and the resilience behind it are strategically important rather than peripheral.
Underwriting concerns and the package programme to build
Pulling the exposures together, the quick-commerce operator needs a structured package programme, and the underwriter needs to get comfortable with a fast-scaling, control-variable risk. Here is how both sides should approach it.
What underwriters focus on
An underwriter looking at a dark-store network concentrates on a few things. First, the consistency of fire and electrical safety across the estate, not the standard of the best site, because the weakest store drives the loss frequency, so evidence of network-wide standards, audits and remediation matters more than a flagship. Second, the EV battery-charging arrangements: whether charging is in dedicated, segregated, ventilated areas with approved equipment and detection, or uncontrolled inside the store, which is often the single biggest underwriting question. Third, the cold-chain and refrigeration reliability, given the food-safety and stock-deterioration exposures. Fourth, the rider-safety and rider-cover arrangements and the employment structure behind them. Fifth, the crime and shrinkage controls, since the underwriter knows much shrinkage is uninsurable and wants to see operational discipline. And sixth, the operator's claims history across the network, which reveals whether the frequency exposures are being managed. A fast-scaling operator that can present consistent, audited, network-wide controls presents a materially better risk than one relying on assurances.
The package programme
A fast-scaling operator should structure a programme covering the interlocking exposures rather than buying covers piecemeal. The core elements are:
- Property and fire on the store estate, including the building interest where applicable, stock (with attention to perishable-stock deterioration following breakdown or power failure), and the racking, fittings and refrigeration plant, with sums insured that track stock value and a mechanism for fluctuating stock.
- Business interruption sized to realistic store-recovery and density-rebuild timelines, with consideration of contingent BI for central-infrastructure, technology and supplier dependencies.
- Public liability for third-party injury and property damage from the premises and operations, reflecting the residential siting.
- Product liability for food-safety and product harm, coordinated with FSSAI compliance and the own-label-versus-third-party-product split.
- Crime and fidelity sized to the provable-dishonesty exposure, with the clear understanding that general shrinkage is a controls problem.
- Motor/fleet cover for the delivery vehicles, structured for a large (increasingly EV) two-wheeler fleet.
- Rider protection (workers' compensation and/or group personal accident) matched to the rider employment structure and the evolving social-security framework.
- Cyber cover, given the operation's total dependence on its technology platform and its handling of customer and payment data, which is a real exposure for a digitally-native operator even though it sits outside the physical-store risks.
Structuring this well, and pricing it, depends on comparing what each insurer's property, liability, crime, motor and BI wordings actually grant and exclude for a non-standard occupancy that mixes warehouse, retail, food and fleet risk, including how the EV-charging fire exposure, the perishable-stock deterioration, the food-safety product liability and the rider cover are treated. Sarvada gives commercial insurance brokers and corporate risk teams structured, searchable access to insurer policy wordings and the intelligence around them, so the grants, sub-limits and exclusions across the package can be compared and matched to the real, fast-changing exposure of a quick-commerce dark-store network rather than forced into a standard occupancy template. Request Access to build dark-store programmes on wordings-level evidence.