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India's Fast-moving Consumer Goods (FMCG) industry is “among the top five contributors to GDP.” Currently pegged at roughly $164 billion, it can quickly double by 2027.
With context to this industry, the urban segment commands a market share of more than 65%, and it’s forecasted to grow even further. The offline distribution channel, which includes supermarkets, specialty stores, convenience stores, retail stores, etc., holds the majority share.
With a swiftly growing middle class, an expanding workforce, and sharp urbanisation, businesses must realise that a resilient and efficient urban distribution network is a significant lever for the growth of FMCG in India.
The Indian geography isn’t without its twists and turns. FMCG companies and other organisations rapidly seek intelligent automation software to streamline logistics operations and elevate business success.
Overview
The client is a renowned player in the Indian FMCG Industry. From rural Indian villages to vibrant metros, their products are present in nearly 90% of all Indian households and about 9 million retail outlets.
Additionally, with a portfolio spanning over a dozen categories, the statistics highlight the client’s near-dominance across product volume, geographic distribution, and localisation strategy successes.
Challenges Faced by the Client
The client needed help reducing their Lead Time from T+3 to T+1 days.
Furthermore, the client faced recurring losses due to damages caused by packaging, loading, and order deliveries of manually sorted, disorganised SKUs. Pilferages, order returns, and trade receivables further exacerbated the problem.
The model was as follows: Warehouse → Distributor → Outlets.
Additionally, the existing network brought its fair share of problems. Critically, the CFAs controlled distribution without a consistent methodology, resulting in the client needing more visibility into how it fulfilled the demand.
Such shortcomings were verifiable through different metrics:
The client was unequipped to cope with fluctuating orders due to seasonality, demand spikes, or random acts of God. Such circumstances made them particularly vulnerable to dealing with the impact of business segment-specific scenarios and resuming normal operations swiftly. A logistics transformation was vital.
Problem Statement
Armed with a deep understanding of the Mojro platform’s capabilities, the client wanted to solve the following problems:
At a fundamental level, the client required Mojro’s assistance to implement material changes to restrain its unchecked Unit Costs. The team established a baseline to serve as a benchmark for tracking improvements in logistics efficiencies.
Mojro’s Solution
Mojro implemented multi-leg planning across multiple dimensions. Essentially, the Mojro platform helps in the optimal planning of:
Mojro utilised the client’s data from the previous six months to perform network optimisation and implement a new-age distribution model. Mojro parsed every serviced outlet’s historical data to provide inputs, including buying patterns and distinct geographical constraints.
It implemented Mojro PlanWyse to execute the digital transformation process. Mojro provided the client with the following solutions:
Revised Distribution Model
Mojro assisted the client in implementing a new-age Multi-leg Distribution Plan. Mojro better identified each Cross Dock’s optimal location using the organisation’s dataset.
As we advanced, the client migrated to a Hub and Spoke Model. The new flow was as follows: Warehouse → (Mid-mile) → Cross Docks → (Last-mile) → Outlets.
Mojro helped the client work towards removing dependencies—single points of failure—previously, the CFAs. The changes allowed the client to gain complete ownership of an updated, leaner distribution network.
Together with Mojro, the client migrated towards a revised, optimal Fleet Mix of appropriate size. The goal was to avoid overplanning or underplanning day trips and reduce Total Travel Distance, thereby increasing each trip’s profitability.
Mojro assisted the client in achieving the following:
Logistics Cost
A 20% savings on Logistics Costs. Mainly, Mojro’s functional capabilities in transportation planning were instrumental, such as:
The client’s target Lead Time was reduced from T+3 to T+1 days. To achieve this metric, Mojro’s functional capabilities for dispatch and address resolution were vital, including:
The client revised its Fleet mix and included new, optimal modes for Last-mile deliveries of each PTL. This approach allowed the client to increase its asset utilisation percentage and decrease the total travel distance of its fleet.
Deploying Mojro’s functional capabilities in transportation planning and driver job automation was critical. These include
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