Data-driven operations put you on a continuous improvement path

A deep understanding of last-mile delivery demand and the performance of every step in the supply chain process is key to designing a cost-effective and continuously improving operation


Add Your Heading Text Territory planning – SLA and transportation capacity as a function of historical density

Taking a one-size-fits-all approach to service level agreements is very likely doomed to fail in last-mile logistics. When trying to answer questions like how much last-mile transportation capacity do I need? What should be its geographical distribution? and can I offer a better Service Level Agreement (SLA) and stay profitable, you need to develop a nuanced understanding of demand and supply in different geographical areas.

Use the power of historical data to project demand and our simulation tools to find answers to the above questions and control the cost-to-serve while pushing the boundaries of the offered SLAs

Real-time capacity analysis – The power behind demand shaping

There are your plans and there is reality. When delivery orders start to accumulate, use a fully automated process that is taking into account both real-time and projected demand in order to keep your commitments at bay and never over-promise. Moreover, the same process, combined with a dynamic pricing engine, is the behind-the-scenes mechanism to incentivize customers to make logistically-friendly time-related decisions and shape the demand curve

Route optimization – meet recipients’ expectations while minimizing operating expenditure

Once you have all the orders in hand, use a powerful route optimization engine that incorporates street-level routing, driver and vehicle constraints as well as customer time windows to produce the most optimal daily routes. Our sophisticated AI constantly learns by analyzing traffic patterns and data gathered from the fleet driver’s historical service time for future planning


Transform promises and commitments into step-by-step instructions for the entire Network Depot’s and Fleet

Warehouse operations: streamline your supply chain

Whether your logistics network has a central distribution center to service all local operations or a widely distributed network of multiple hubs and spokes, Milkman’s platform can handle any scale of the inbound and outbound logistics business. Get a handle of all aspects of cross-docking (sorting, long-haul transit, identifying stocking locations for either immediate loading or interim storage to accommodate the consumer’s selected window) and streamline the operations across the supply chain from retailers to last-mile drivers

Last-mile transportation: the human face of logistics

Technology pushes the entire logistics world forward, but as long as there is a human touch to this process, equip customer service personnel, dispatchers, and drivers with the best tools for their best performance.

Streamline what is planned with tools for efficient loading, focus on the delivery queues, and clustering orders by proximity in dense areas. But more importantly, give all stakeholders better tools to manage exceptions with a central notification system and processes to manage rescheduling requests and reverse logistics options.

AI, ML and Hyper-automation

Data-Driven decision making

Logistics is a numbers game. Developing a deep understanding of delivery demand and transportation capacity, the cost elements of every step in the supply chain, and the performance of all stakeholders involved, is the key to put yourself on a path for continuous improvement.

Use a data platform that gives you both the real-time view and the historical perspective and bubble to the surface the most important and relevant information that drives better decision making

Let the machines learn and act

With advances in artificial intelligence (AI), today’s machines can automatically analyze your data, draw conclusions in many dimensions and orchestrate end-to-end processes.

Use the power of hyperautomation to optimize the following processes:

Capacity management, residual capacity, and pricing incentives – Forecast demand based on historical data and real-time activity have a minute-by-minute update to your delivery residual capacity and find the optimal incentive, transaction-by-transaction, to shape demand.

Stakeholders, performance, and planning – Use continuous learning of the behavior and performance of all stakeholders and understand that performance in the context of time and geography to improve operational assumptions and drive better planning

Success story
re-inventing the home delivery market

Success Story:
Re-inventing the home delivery market

Milkman’s Last-mile delivery orchestration platform

Commerce and logistics integration at the point-of-sale is enabling dynamic choice of convenience and cost

Deep business insights are driving better planning of last-mile logistics and transportation

Effective communication based on the customer’s unique needs and preferences drives a better experience from purchase to delivery

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