Fulfillment and Transportation

Covid-19 has had an extensive impact on fulfillment and transportation, bringing to life the most extreme scenarios. A data driven approach easily becomes a competitive edge, leveraging optimization on your network and increasing intelligence and responsiveness of your logistics.

The right product in the right time at the right place – the Analytics way

Having the right product in the right time at the right place – this used to be the mantra for every single supply chain. It hasn’t changed. Nevertheless, service level expectation has only increased and the economic impacts of Covid-19 have both changed our understanding of this mantra and the way companies need to drive their fulfillment and transportation to be ahead of their competitors.

Many different industries are facing fulfillment and logistics challenges: Home deliveries (e-commerce) had unprecedented growth since 2020, the flaws on vaccine; tests and medical supplies distribution have shown how fragile the shipping network can be in Brazil and many other countries; offshore oil operations had to rapidly evacuate covid-19 positive personnel form their platforms, some of which are more than 100 miles from the coast.

For all these examples, the requirements to succeed are very similar to the ones that large companies have developed for their transportation processes: optimized network, NRT (near-real-time) visibility, fast and effective tendering, better routing for deliveries and pick-ups, efficient crisis management and better localization for their shipping capacity.

Distribution Network Design

Distribution Requirements Planning

Outbound Logistics Planning & Execution

Outbound Inventory Mgmt

Field Force Assignment & Execution

It is humanly impossible for someone to take every single operational variable and restriction into consideration when making a decision regarding transports. To solve that, DHAUZ leverages the power of data and analytics to amplify the capabilities to react and make decisions about fulfillment and the network operations.

We combine our analytics experience on demand sensing, order prioritization, static and dynamic routing and intelligent distribution with transportation management models and extensive knowledge of the shipping market, to help our clients create a solid and highly evolved logistics capability.

Transportation

DHAUZ has extensive knowledge of transportation processes and the shipping market

DHAUZ is the best choice when it comes to designing your distribution network and optimizing the outbound logistics because we are able to uniquely merge business knowledge and supply chain strategy with deeply skilled data scientists and, therefore, achieve larger and more impactful results. Here are some of our main offerings:

Network Design and Optimization

Simulate, evaluate and compare various scenarios for shipping, fulfillment strategies, site configuration (manufacturing plants and distribution centers), field force hubs, among other factors, in order to recommend the option that best resolves the trade-off between cost and service.

Transportation Planning and Intelligent Operations

Define the fulfillment models, static and dynamic routing capabilities and freight buying options for high efficiency transportation to enable a data driven control tower that focused on solving exceptions and crisis.

FG Inventory Optimization

DHAUZ will define the service level strategies for inventory by segment, which can also incorporate some client centric attributes, model the shortage risks or even apply analytics to determine inventory management parameters and policies. The operation can also be supported and run on our customized applications.

Routing and Last Mile Optimization

Improving capabilities to enable delivery optimization and real time dynamic routing that includes CO2 emissions into the models, so that companies can reach customers expectations regarding faster and more sustainable shipments while also keeping an optimized balance between their costs and lead times.

Demand Sensing

Short-term demand forecast models that include both orders on-hand and near-future predictions based on demand signs and causality, which enables a prescriptive model foundation for Sales & Operation Execution (S&OE) and a shipping and transportation schedule that operates on the optimal level of cost and service.