How Cloud Computing is helping Grocery Apps optimize their supply chain

The grocery sector has seen a huge shift in consumer behavior as more prefer buying it online now. With the changing consumer behavior, marketing their services is no longer a challenge for grocery delivery apps. 

The focus has now shifted to managing internal capacities and labor resources to fulfill demand and scale effortlessly. 

Not having access to a supportive infrastructure can affect the supply chain in terms of lower efficiency, incoherent scheduling, and longer delivery times. 

For this reason, more and more grocery delivery companies are now adopting cloud solutions to overcome these and many other restrictions. 

Below are some common ways grocery delivery apps utilize cloud computing for a more coordinated supply chain. 

 

Route Optimization

With the need to stay agile and scalable on-demand, route optimization is not a simple process of finding the quickest route to delivery anymore. 

As companies work with multiple distribution centers, millions of brands, products, and SKUs, and limited resources, route optimization has become a more complex area of management. 

With cloud computing, grocery apps are able to assess, analyze and utilize real-time order-related data to allocate their resources. 

AI-powered data analysis, allows grocery apps to seamlessly deliver orders in time with the help of automated sequencing, task syncing, and order fulfillment scheduling. 

 

On-demand scalability

Delivery apps that promise quick deliveries within 30 minutes or one hour face the biggest hit when it comes to sudden spikes in demand. 

This was the case during the early stages of the pandemic as millions of shoppers switched to online grocery delivery apps. To stay competitive, grocery delivery companies have to remain prepared for such spikes in demand. 

Cloud computing offers just the right infrastructure as it can be seamlessly scaled and downsized as needed. With AI-powered data extraction and analysis tools, it helps companies deal with not only resource allocation but also the spike in order data that comes with sudden demand surges. 

As more order data needs to be utilized to optimize delivery systems, a non-scalable infrastructure can lead to downtimes. The main benefit to cloud-based infrastructure, for this reason, is that it can handle any amount of order data and offer an unlimited capacity to optimize routes, schedule tasks, and sync orders seamlessly at all times. 

 

Auto-scheduling

Manual allocation of resources can be highly cost-ineffective and time-consuming. Cloud solutions utilize time-slots and automatic scheduling to keep all delivery tasks synced seamlessly to bring up efficiencies. 

By tracking important data such as rider availability, production capacity or inventory levels at each distribution center, and fulfillment times for previous and pending orders, cloud solutions assign much more accurate delivery time slots to orders. 

Such real-time, data-intensive tasks are hard to carry out manually and are prone to human error as well.

 

Inventory Management

While there are now many inventory management systems available to optimize delivery systems, grocery delivery apps have more complicated needs. 

When it comes to 30-min delivery fulfillment, a simple track, reorder, restock inventory system does not work. Such apps typically work with multiple distribution centers, which means their inventory data must be seamlessly integrated with the resource allocation system. With cloud computing, real-time inventory data can be tracked and utilized to make better delivery and resource allocation decisions. 

With Cloud computing, real-time inventory data can be tracked and utilized to make better delivery and resource allocation decisions. It is all the more reason why there is a need to incorporate Cloud Technology in Grocery Business.

By tracking important data such as rider availability, production capacity or inventory levels at each distribution center, and fulfillment times for previous and pending orders, cloud solutions assign much more accurate delivery time slots to orders. Cloud technology is here to stay in the time of Pandemic. This is all the more reason why you need to incorporate Cloud in your Grocery Business.

 

All you need to know about a cloud engineer

Cloud computing is now everywhere. There was a time back a decade ago when the whole concept of automation seemed like something only million-dollar companies could afford.

But today, the idea of cloud computing dispersion and use has become quite familiar—this is a certain reason behind the rise in demand for cloud engineers. Young people from around the globe are asking questions about it as a profession in particular.

Here are some major responsibilities of a cloud engineer that you must know, 

Cloud architecture design

You can’t see the cloud. But this doesn’t mean that the cloud isn’t there or it’s not working. The whole term ‘cloud’ refers to the fact that there will be practically zero space occupation in an office because of the cloud module. 

Now the cloud engineers are responsible for designing the whole architecture of a cloud module. Most of the time, the services of cloud tech are outsourced with the help of a third party. If someone is looking to develop a cloud module for a corporate separately, a cloud engineer is the only one that can architect that.

Engineering parameters setup

Multiple components determine the whole functionality of a cloud setup. The cloud setup will be way more different than a cloud setup in a corporate office. The same third party may provide services, but still, the parameters will be gravely different.

A cloud engineer sets up these parameters of the whole cloud module. The professional first visits the facility and estimates what parameters must be set for the complete cloud unit to work fluently. The cloud parameters are then set accordingly.

Cloud development and management

Once the parameters are set, the most important part now is to make sure that the cloud setup is in a manageable state. According to verified survey reports, corporate offices with dependency on cloud tech need to hire cloud engineers permanently. This shows how important cloud tech management is.

Plus, the dynamics of a cloud module are very different from an IT or software-based module. First, there will be no large server rooms. The engineers will do everything that must be done to keep the system up and to run. Second, narrowing down the problem can be tough in cloud modules without professional aid.

Real-time cloud administration

Calculating whether or not a cloud setup is working properly is very easy. Most of the time, the activity data is recorded in the activity log. This allows the cloud engineer to look at the cloud setup and its relative activity from time to time.

But the crucial part of the job is to monitor the real-time activity of the module. To do so, you need a cloud engineer with expertise in data management and monitoring.

Cloud resource management and its importance

Last but not least is the cloud resource management system. You see, a cloud mainframe will provide services to many consumers through a single node. You can already imagine the amount of data flowing through the mainframe of the setup simultaneously.

To keep the cloud stream up and to run, cloud engineers use special resource management approaches that divide the data, performance, and storage according to the selected plan of the user.

 

5 Advantages of Cloud Tech for Engineers

Technology is taking humans to the next level. In a few decades, we have jumped hundreds of years ahead of our time, all because of technology.

In this civilization upgrade, engineers played the most crucial role. Today, cloud tech is making sure that these hardworking engineers get the fruit of their efforts with the help of some fantastic features. Engineers across the globe are now enjoying cloud automation up to a great extent.

  • Software scaling is a reality now.

Before cloud tech, software scaling wasn’t an option available for engineers. Think about it, software manufactured by an IT or a Software engineer was supposed to stay restricted to a particular boundary unit. Within this boundary unit, the software was working exceptionally well and all of that.

 

But with the help of cloud technology, scaling is now introduced in the world of software. Now, the software can operate multiple facilities or units through remote connections. These connections are made and updated with the help of cloud channels.

  • Data storage and sharing

Finally, it is time to say goodbye to large warehouses loaded with files and data storage units. Cloud tech is finally advanced enough to take care of data storage and sharing remotely. This has been particularly helpful for engineers regarding data management and storage. 

 

The more fantastic thing about cloud technology is practically zero room space coverage. If you collaborate with a cloud tech provider, the data will be managed and stored on cloud-based servers. This will help you free up a lot of space within the facility as well as accessing data will not be an issue anymore.

  • Job management

There are two main streams through which cloud tech is helping engineers with job management. The first one is obviously for getting matched with relevant jobs for themselves. Today, many platforms offer cloud-based services that can fit your qualifications for a specific job opening. You will be automatically shortlisted and contacted in such technology.

 

The second stream comes when you are hiring professionals yourself. It is the year 2022, guys; you can’t just go out and run hiring campaigns now. Instead, you can use cloud tech to shortlist and evaluate candidates for a particular job role.

  • Real-time monitoring

Now, this has indeed revolutionized the way the majority of the engineers around the globe used to operate. With the help of technology, you don’t need to be on-site 24/7 to check if everything is going according to the plan or not. The subordinates can log relative data in the system, which then evaluates your progress.

 

During the tough times of the pandemic, this technology has proved to be exceptionally good in its operation. The whole area was practically quarantined, but still, the work kept on. So far, using cloud tech for such real-time actions has been proven by the parameters of activities.

  • Work overload reduction

Finally, some relief for the engineers around the globe! According to verified survey reports, engineering is one of the very few professions where the workload is too much on average. If we divide the work by the number of hours, you can tell why most engineers are practically exhausted throughout the week.

 

With the help of cloud tech, automation is now relatively easy. Several modules can be automated, eventually lowering the workload.

 

 

How is Cloud Computing helping the engineering industry?

In the last couple of decades, the world of technology progressed exponentially. The whole new range of equipment and machinery we have got today is almost out of this world. 

In all of this up-gradation of technology, one industry, in particular, has benefited the most. Yes, we are talking about the engineering industry. Today, the majority of the engineering streams are now automated with the help of cloud tech.

Here are some prominent examples of how cloud-tech has helped the engineering industry and will keep on helping in the future as well, 

  • Storage customization

Before the consumer scale introduction of cloud computing, data storage was not an easy job for engineers. If you were working on some mega project, you needed to have a server room covering a lot of space. Plus, maintaining such an IT server room wasn’t an easy job.

 

With the help of cloud technology, space occupation is almost reduced to zero. The cloud allows professionals to store data within online modules. These modules are always connected thoroughly so that you can access and store the data.

  • Exceptional data security dynamics

There is no doubt that the internet has changed the world. From trade to project working dynamics, there is no such thing where the internet is not integrated somehow. But because of this rise in the use of the internet, data security has become a real issue.

 

Unfortunately, there are cases where firms paid malware artists and data phishing experts to get data from a competitive firm. The best option to go with is a cloud module to stop such a kind of approach. The cloud module is explicitly developed according to the cybersecurity parameters that an engineering firm or company may need.

  • Infrastructure scalability

Before introducing cloud-based modules, infrastructure scalability was almost zero in the engineering industry. The main reason for this was again the huge IT server rooms. If you were planning to upscale your organization, you were supposed to set up a server room in a different space.

 

Now that was not an affordable and effectively scalable idea. With the help of cloud technology, you can centralize the whole operations of your company on a cloud. So, in other words, if you are thinking about scaling your company or shifting to another facility, your data will remain safe within the cloud module.

  • Real-time accessibility

Now, this is something that wasn’t even available with huge IT server rooms. We all remember the time when the server room gets down. There was no way for the servers to get up most of the time without wasting a whole day.

 

With the help of cloud tech, this issue is also resolved finally. Now, servers stay up throughout the year 24/7. Do you know what this means? This means real-time access to data no matter which day of the week you are willing to work. This has been a real game-changer for boosting the work output within offices and corporates.

  • IoT integration

For those of you who don’t know, IoT stands for ‘Internet Of Things. The whole idea behind the introduction of IoT was to integrate the internet into our everyday life. In other words, automation that we are seeing today almost everywhere results from an IoT approach.

 

The whole IoT initiative is backed up by cloud technology. It was the first IoT-based module the world witnessed, and now it’s scaling exponentially.

 

Cloud Technology is helping Grocery Delivery Apps optimize their operations – Here’s How

 

Cloud Technology is helping Grocery Delivery Apps optimize their operations – Here’s How

With more startups entering the on-demand delivery market, surviving the competition has become a priority for existing grocery delivery apps. 

There is no doubt that all grocery apps aim to grow by scaling their capacity. However, a rigid infrastructure with insufficient support tools can restrict the scalability of such companies. 

Below are some ways cloud computing is helping companies overcome these restrictions without compromising on the customer experience.

Quicker Delivery Routes

With the rising competition and consumer demand for speed, every grocery delivery app is facing multiple challenges in optimizing its operations. 

On one side, companies have started offering quicker delivery times to survive the saturated market. 

On the other side, more and more consumers adopting the on-demand delivery apps has put a strain on the available resources. This has created a new challenge for delivery apps to maximize their operational efficiencies to better fulfill the demand.

Cloud computing is helping delivery apps do just that with the help of route optimization. As more orders enter the pipeline at a single time, allocating delivery resources efficiently becomes more complex. 

With the help of data extraction, data analysis, and machine learning, cloud computing helps with prioritizing orders and finding the best routes. 

All on-demand grocery delivery apps have to assess, analyze and utilize real-time order data to optimize their delivery routes. 

Going through this data in real-time, ranking it to understand delivery times, allocate resources, and schedule prioritization for each order is impossible without supportive infrastructure. 

By carrying out these tasks on a central location that is also instantly scalable, grocery delivery apps are able to unwrap millions of data pieces every second without overwhelming their existing software.

AI-powered Automation

There is no doubt that delivery tasks are not easy to automate, given the human resources needed for each order fulfillment. Being labor-intensive and requiring multiple steps to delivery is one of the biggest limitations of modern delivery apps.  

High-level decisions like which order to prioritize first and how to allocate orders to each rider require a lot of real-time data. With the help of AI and data analysis, cloud solutions offer automated scheduling and task syncing that allow a more seamless flow of delivery. 

The AI infrastructure helps grocery delivery apps utilize the quick calculations that are driven by multiple factors, including order delivery time, fulfillment of the previous order, and rider availability at each distribution center.

Improved Scalability

Working with multiple distribution centers in different locations can make the delivery system more complicated. 

Without real-time data exchange between each distribution center and resource allocation system, quick delivery times cannot be achieved. 

Cloud computing solutions that are specifically designed around the needs of delivery apps and route optimization help track important factors that affect resource allocation.  

By making the data related to inventory levels, production capacity, available labor, and other resources readily available on a central location, cloud computing allows effortless scaling.

More and more grocery delivery apps are now able to scale seamlessly to other cities and countries without facing any allocation issues. 

This allows companies to focus on the customer experience and fulfill their service-level responsibilities without worrying about their backend capacity and resources.

By making the data related to inventory levels, production capacity, available labor, and other resources readily available on a central location, cloud computing allows effortless scaling.