April 15, 2024

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Logistics Heavyweights 2023 : LogiNext

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LogiNext on How Key Technological Solutions Are Disrupting Last-Mile Delivery

Established in 2015, LogiNext is a global technology firm that offers a SaaS-based Delivery Automation Platform. The company’s solutions enable brands across various sectors – including Food & Beverage, Logistics, eCommerce & Retail, Pharmaceuticals, Manufacturing, Utilities, Energy and Transportation – to digitise, optimise and automate deliveries across the supply chain.

LogiNext has successfully streamlined multiple models of inter-city as well as intra-city logistics, including last-mile delivery. With over 250 large-scale SaaS implementations globally, its clientele includes leading brands such as KFC, Starbucks, McDonald’s, Decathlon and SingaporePost. The industry has recognised the company’s work in route planning, route optimisation, reverse logistics and workforce management as genuinely innovative and disruptive. 

LogiNext has reduced costs, enhanced on-time delivery efficiency, and increased overall end-customer satisfaction ratings for its clients through its cloud-based application network. It has effectively bridged all knowledge gaps between companies and their resources, including those utilised by 3PL (third-party logistics) vendors. 

LogiNext’s critical solutions to facilitate last-mile delivery are LogiNext Mile and LogiNext On-Demand.

LogiNext Mile

LogiNext Mile is a proprietary cloud-based solution which manages resource capacity utilisation, route optimisation, real-time tracking, schedule management and order validation. The product includes multiple features that address every customer’s expectation concerning last-mile delivery.

Clients have witnessed multifold increases in customer satisfaction ratings following the implementation of LogiNext Mile. The product functions with total control and customizability in alignment with the client’s unique problem scenario. With Mile, LogiNext has perfected resource allocation, tracking and optimisation to create the highest grade of product to function within the particular parameters of the retail industry. Moreover, LogiNext integrates with multiple enterprise-level management systems to consider different ‘flavours of planning’ (i.e., numerous permutations of possible planning constraints, running on AI/ML) to a client’s central management tools.

One of the most oversized Consumer Packaged Goods (CPG) retail chains in the United States faced some challenges with its last-mile delivery – including inconsistent schedule planning, delayed deliveries, poor route optimisation, and lack of real-time tracking or delivery status updates. The client approached LogiNext, seeking a solution to enhance its last-mile delivery efficiency.

LogiNext Mile integrated all the client’s problem scenarios into a single solution pitch to facilitate efficient allocation, tracking and optimisation to help the client realise its vision of customer-centricity. Mile streamlined the logistics movement for the client’s entire store network. LogiNext’s patent algorithms structured the most optimal allocation structure by integrating all the essential resource details into the system.

Implementing Mile ensured effective resource allocation automation, schedule planning and real-time delivery tracking for the client. It enabled the client to realise its vision of efficient ‘partial deliveries’ (allowing customers to accept only a part of their complete ordered list at the point of delivery while returning the rest of the units, which would not be billed).

Post-implementation, the client’s resource utilisation was increased by 30%, with a 37% decrease in delivery delays. Factoring in the increase in delivery efficiency and the total value of each utilised resource, the effectual cost benefit for the client was as high as 77.7%.

LogiNext On-Demand

LogiNext On-Demand is an enhanced route planning and auto-delivery allocation solution that ensures timely pickups and deliveries. The software has complete visibility of a client’s available resources, allocated orders, location, load, routes etc. This enables it to dynamically auto-allocate new orders to the best available help, considering all the aforementioned factors. On-Demand is thus able to improve both the resource utilisation and efficiency of the client.

One of the world’s largest Quick Service Restaurants (QSR) required a solution to optimise its on-demand delivery system. The objective was to maintain the high-quality standards demanded by the brand while completing deliveries within the ideal delivery period of 30 minutes. Initially, the client required many delivery personnel to sustain this model, achieving a turnaround time of 40 minutes from the point of dispatch. Fulfilling the 30-minute delivery assurance would have required it to invest in additional resources.

LogiNext On-Demand solution was integrated with the client’s various enterprise resource planning systems and order management systems across all their outlets within 4 weeks. By the end of the first quarter post-implementation, the order delivery lifecycle (one of their key metrics) improved by over 40%! Also, their overall delivery costs decreased by about 15% by the end of the first quarter.

Moreover, end customers could effectively track their deliveries through the client’s app, which was integrated with LogiNext’s real-time tracking and delivery status alerts. This transparency significantly improved the customer’s experience, as well as their satisfaction rating post-delivery.

In addition, this LogiNext implementation enabled seamless onboarding of third-party delivery partners to help the client scale their operations while further improving delivery costs and customer experience.

“It is amazing to see the possibilities that our platform opens up for our customers in terms of helping them up their game on delivery optimisation and customer delight. Our platform has the good velocity to ensure that we stay relevant to the evolving tech landscape & client expectations and can leverage the ecosystem well to help our users thrive!” says Dhaval Thanki, VP of APAC & MEA at LogiNext.

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