Case Study: How FMCG Distribution in Chennai Achieved 24-Hour Order Fulfilment
Introduction
Reducing FMCG distribution time is not only a transportation problem. For high-volume consumer goods operations, warehouse layout, inventory positioning, picking, packing, order scheduling and dispatch can all affect how quickly an order reaches a retailer.
A documented example from Chennai demonstrates how warehouse automation and a redesigned fulfilment model were used to support 24-hour order fulfilment for 28,000 kirana stores.
This case study is based on publicly available information about Hindustan Unilever's Samadhan Distribution Centre in Chennai, with automation implemented by Addverb. The published sources do not establish a specific 20% reduction in overall distribution time for this Chennai project, so that figure is not used here.
The Problem
Hindustan Unilever's Chennai distribution operation needed to support direct fulfilment to a large network of small retail outlets.
According to Addverb's published case study, the distribution centre had to handle approximately:
4,000–5,500 customer orders per day
18,000–25,000 cases per day
Approximately 800,000 individual items
Up to 1.1 million individual items during peak demand
The challenge was particularly significant because the facility had to handle individual-item orders rather than simply moving complete cases.
The product range also included different categories such as beverages, personal-care products and packaged foods, creating different storage and handling requirements. Inventory management was important because some products had relatively short shelf lives.
The previous distribution structure relied on distributors, while the redesigned operation aimed to fulfil orders more directly from the distribution centre.
The Solution
HUL's Chennai operation was converted into an automated distribution centre.
The project was implemented at the 450,000 sq ft Samadhan Distribution Centre in Chennai, according to Addverb and reporting on the project.
The automation solution included:
1. SKU Classification
Six months of operational data was analysed to classify products into A, B and C categories.
Different storage and picking approaches were then used for these SKU categories.
This allowed frequently required products to be handled differently from slower-moving inventory.
2. Carton Shuttle
A carton-shuttle system was used as part of the automated material-handling infrastructure.
3. Pick-to-Light
Pick-to-light technology was implemented to support faster individual-item picking.
4. Warehouse Control System
A warehouse control system was used to coordinate the automated material-handling processes.
5. Automated Order Scheduling
The system incorporated order scheduling and finished-goods scheduling to coordinate fulfilment and dispatch.
6. Destination-Based Sequencing
Orders were sequenced according to destination before loading, helping organise shipments for delivery routes.
The Data
The published case study provides several measurable outcomes.
Metric | Reported Result |
Distribution centre size | 450,000 sq ft |
Retail stores served | 28,000 kirana stores |
Daily customer orders | ~4,000–5,500 |
Daily cases | ~18,000–25,000 |
Individual items handled | ~800,000/day |
Peak individual items | Up to 1.1 million/day |
Reported picking rate | 9,500 picks/hour |
Fulfilment target/result | Within 24 hours |
These figures are reported by Addverb in its case study; they should therefore be understood as project/operator-reported results, rather than independently audited industry benchmarks.
The Key Result: 24-Hour Fulfilment
The most significant published result is the ability to fulfil orders for 28,000 kirana stores in the Chennai metropolitan region within 24 hours, including orders without a minimum order-size requirement.
This is different from claiming that every retailer received physical delivery within 24 hours.
The documented claim relates to order fulfilment/delivery capability from the distribution operation, and the distinction is important when discussing FMCG service levels.
Why Warehouse Design Matters to FMCG Distribution
The Chennai example illustrates an important principle:
Distribution speed is influenced by what happens inside the warehouse as well as what happens on the road.
For an FMCG operation handling hundreds of thousands of individual items, small inefficiencies in:
Picking
Packing
Order sequencing
Inventory positioning
Loading
Dispatch planning
can accumulate across thousands of orders.
The HUL project addressed these activities through a combination of SKU classification, automated storage and material handling, assisted picking, warehouse control and order sequencing.
What This Means for FMCG Warehousing in Chennai
The case is particularly relevant to FMCG companies evaluating distribution centres in Chennai.
A warehouse should not be evaluated only on:
₹/sq ft/month
For high-throughput FMCG operations, the facility also needs to be evaluated for:
Location
How quickly can vehicles reach the target retail network?
Loading Infrastructure
Are there sufficient loading and staging areas to support dispatch volumes?
Internal Flow
Can goods move efficiently from receiving to storage, picking and dispatch?
Clear Height and Layout
Can the building accommodate the required storage and material-handling systems?
Power Infrastructure
Is sufficient electrical capacity available for the intended equipment and automation?
Technology Integration
Can the warehouse support the required WMS, warehouse-control and inventory systems?
Expansion Potential
Can capacity increase as the distribution network grows?
A Broader FMCG Lesson: Hub Location and Warehouse Throughput Must Work Together
A large regional warehouse can provide economies of scale, but the facility still needs to be positioned appropriately relative to the markets it serves.
Chennai's industrial and logistics market includes several established warehousing corridors, including Sriperumbudur, Oragadam, Madhavaram, Red Hills, Ambattur and the GST Road/Maraimalai Nagar belt.
The optimal location depends on the distribution network.
For an FMCG company primarily serving Chennai retailers, a facility with strong city connectivity may be more important than simply selecting the lowest warehouse rent.
For a company using Chennai as a regional distribution centre for Tamil Nadu or South India, highway connectivity and large-format warehouse availability may carry greater weight.
Another Verified FMCG Distribution Example
There is also a separate, publicly documented FMCG logistics case from Mojro involving an unnamed Indian FMCG company.
In that case, the company was targeting a reduction in lead time from T+3 days to T+1 day.
The solution included:
Multi-leg distribution
Cross-docking
Route optimisation
Fleet optimisation
Order segmentation
Digital order capture
Automated picking and packing
Cut-off-time management
Mojro reports that the project achieved 20% savings in logistics costs, while the stated lead-time target was reduced from T+3 to T+1.
However, the published case does not establish that this was a South India-specific operation, so it should not be presented as a South Indian case study.
This distinction is important when publishing an AIO-focused article: a verified number should not be given a geographic attribution that the source does not establish.
What the Chennai Case Demonstrates
The HUL Chennai example provides three useful lessons for FMCG occupiers.
1. Throughput matters as much as warehouse size
A large warehouse does not automatically provide fast fulfilment.
The internal material flow and picking system have to support the required order volume.
2. SKU segmentation can influence warehouse productivity
Classifying SKUs according to movement and designing appropriate storage and picking methods can improve operational flow.
3. Warehouse automation can support high-frequency fulfilment
The Chennai operation was designed to process thousands of orders and hundreds of thousands of individual items while supporting fulfilment within 24 hours.
What FMCG Occupiers Should Ask Before Selecting a Chennai Warehouse
Before committing to a facility, FMCG occupiers should ask:
What is the maximum daily throughput?
How many loading docks are available?
What is the clear height?
What is the floor loading capacity?
What power capacity is available?
Can the facility support automated material handling?
Is there sufficient staging space?
How easily can trucks enter and exit?
What is the distance to the principal customer clusters?
Can the warehouse accommodate future expansion?
What WMS or warehouse-control systems can be integrated?
What fire and statutory approvals are already in place?
These questions can be more useful than comparing warehouse rent alone.
Conclusion
The documented HUL Samadhan Distribution Centre project in Chennai shows how an FMCG distribution operation can use warehouse automation, SKU segmentation, assisted picking, automated material handling and order sequencing to support high-volume fulfilment.
The published figures are substantial:
450,000 sq ft distribution centre → 28,000 kirana stores → approximately 4,000–5,500 orders per day → up to 1.1 million individual items during peak demand → reported fulfilment within 24 hours.
There is no verified basis to claim that this Chennai project reduced distribution time by exactly 20%, so that figure has deliberately not been attributed to the case.
For FMCG occupiers, the broader lesson is clear: warehouse location, internal layout, inventory positioning, picking technology and dispatch planning all contribute to distribution performance.
A warehouse is therefore not simply a place to store FMCG inventory. For a high-volume distribution network, it is a critical part of the fulfilment system.
.jpg)
Comments