With digital transformation and agile development becoming the new norm for every industry, on-demand delivery companies are facing a new challenge. 

As more consumers demand speedier deliveries, managing orders in a time-efficient way is important to survive in the saturated market of grocery delivery. 

However, even the best grocery apps run into problems related to data management and fail to fully utilize their order data to optimize delivery routes. 

Along with route optimization, automating the labor-intensive, manual tasks of scheduling and syncing orders is also a newly arising problem. 

 Given the interlocked problems, modern grocery delivery apps have found a way to streamline their resource allocation process by adopting a more supportive software infrastructure.

Below are three common challenges cloud computing is helping grocery delivery apps overcome to make their backroom processes more synced and streamlined.

 

Data Visibility

Grocery delivery is a data-intensive industry that deals with millions of data pieces every second. Having access to the right data in real-time can mean the difference between a good and awful customer experience. 

Keeping a check on inventory levels of each brand, product, and SKUs at each distribution center is important to allocate orders to the ride carriers. However, the task can be restrictive and slow without proper integration of all data coming through different vendors and channels. 

A cloud-based infrastructure allows grocery delivery apps to gain better data visibility in terms of internal capacity, pending orders, and carrier availability. 

When resource allocation systems gain better data clarity, it starts the ripple effect of improved efficiencies throughout the supply chain. One of these improved efficiencies is task syncing which is explained below.

Task Syncing

Multiple factors need to be assessed before an order can be fulfilled. To ensure the quickest deliveries, delivery apps must utilize real-time data related to the distribution centers, order details, and rider availability. 

Real-time data exchange between distribution systems, order fulfillment pipelines, and the resource allocation system is essential to sync each order seamlessly. 

By putting all orders in a streamlined pipeline, grocery apps are able to schedule each delivery more accurately and save time. 

However, this cannot be done with software that is not cloud-based. 

 By providing a central location to share and access data, cloud solutions allow resource allocation systems to access the data related to the inventory levels, distribution centers, and backroom capacity. 

This helps grocery apps route the order to the most relevant carrier and distribution center to avoid any order delays.

Vendor Aggregation

Things can become complicated as delivery apps start working with multiple vendors with their own varying internal capacities, inventory, and pricing. 

This brings a real challenge in integrating real-time data from thousands of different vendors. By adopting cloud technologies, vendors can connect parts of their inventory, capacity, pricing, and availability without worrying about security. 

As soon as there are any changes in a vendor’s data, it can be automatically updated on the app in real-time. This allows grocery apps to scale their operations without worrying about any misallocation within the supply chain.

 By putting all orders in a streamlined pipeline, grocery apps are able to schedule each delivery more accurately and save time with cloud technology. 

By providing a central location to share and access data, cloud solutions allow resource allocation systems to access the data related to the inventory levels, distribution centers, and backroom capacity.