Using AI To Improve Delivery App

Anton Mali
10 min read
Using AI To Improve Delivery App

Advanced logistics is an integral part of modern business necessary to meet the needs of customers. The delivery process requires well-structured action algorithms for problem-solving. This goal becomes possible due to the usage of AI in delivery apps. In this case, customers can optimize delivery routes, improve the quality of interaction with the target audience and increase the profitability of the company.

How AI is Transforming the Online Delivery Industry

AI represents a scientific discipline that deals with the modeling of intelligent behavior. At the moment, the capabilities of the software product have significantly expanded, when using AI technology. Nowadays, the system can do much more than just indicate the location of goods in the warehouse. AI transforms the online delivery industry by suggesting the most optimal path to the location of the cell and subsequently placing based on demand and product proximity by taking into account the following points: 

  • A request from the customer
  • Temperature
  • Illumination
  • Expiration dates 
  • External factors
  • Route productivity level
  • Delivery deadline

In this perspective, an AI-based software product can report and analyze incoming information on goods arrivals and shipments following unpredictable peaks. AI integration in delivery apps helps distribution center managers to independently correctly distribute staff. AI will take control to eliminate the very “human factor”. AI-based control systems are more reliable than humans. They process information and make decisions faster by having fewer failures. they are not influenced by emotions, and cannot be bribed.

Online Delivery Industry

What AI functions can be useful in logistics?

AI`s advantages can be useful in logistics by increasing the effectiveness of a company’s work. According to analysis of specialists the advanced online delivery apps can provide the clients with more than 10% reduction in transport usage. AI`s functions can include the following options: 

Trend prediction. AI integration in delivery apps allows companies to collect clients’ preferences and popular requests. This approach provides the brands with a competitive advantage by having the necessary tools and services to meet the needs of potential customers. 

Smart warehouses. The customized applications include options to manage product placement by creating an advanced system for accounting, placement, receipt, and further dispatch of products. This option is especially useful to save time and staff resources. It can perform the tasks of a whole department of employees of a logistics company.

Logistic coordination and optimization. The application can develop unique routes to deliver packages to customers. This approach excludes the possibility of frequent delays and erroneous shipping addresses. In this case, the company does not face unplanned costs to solve problems. 

Multimodal transport support. Nowadays, shipping routes cover the entire planet by requiring the involvement of several transport types. The program tools allow the clients to control the package at all stages of transportation by controlling its transfer.

Intuitive chatbots. This built-in option performs the function of online consultations by allowing the clients to receive the answers to FAQs. At the same time, it can save the time of staff by coordinating the connection of the clients with a certain specialist after the initial analysis of their request. 

What AI functions do you use for your business?

Implement AI delivery of online orders

Why do you need to implement AI delivery of online orders sooner or later in general

All companies will implement AI in delivery apps. It’s a matter of time and forethought. However, procrastination and denial of obvious solutions can lead to the loss of loyalty of the target audience and a decrease in the level of competitiveness. The food delivery industry has a network background. The online food delivery market will exceed 474.30 billion dollars by 2026. It is a natural basis for the implementation of AI projects. The refusal or inability of a company to implement AI creates the risk of losing competitiveness in the long term. Companies that refuse to implement AI risk falling behind competitors. 

AI inside the company. It improves accuracy and productivity and reduces costs and the time of the operation. These achievements become possible thanks to AI. A combination of robotic process automation, artificial intelligence, and automated systems will perform everyday tasks providing employees with the ability to devote time to the most important income-generating work functions. 

Predictive logistics. Predictive network management implies the efficiency of logistics operations improved with the help of AI. The express delivery services can predict delays during transit air transportation using the developed program. This approach helps the company take measures to mitigate the consequences.

Intelligent route optimization: A fast, suitable, and efficient route for every customer is a valuable piece of information for every logistics company. The apps can develop their routing algorithms for all their drivers and operators in real time. This action algorithm saves delivery time, improves customer satisfaction, and also reduces costs.

Integrating AI in Delivery Solutions

Advantages of Integrating AI in Delivery Solutions

AI integration in delivery apps will change the operational model of logistics from reactive to predictive and proactive. It provides better results at optimal costs within the business, operational interactions, and outside the company. AI complements human capabilities and also eliminates routine work. This approach shifts the focus of logistics workers to more important, and productive tasks.

The advantages of AI in delivery solutions include the following aspects:

Delivery route management and chain optimization. AI technologies help optimize the distance and trajectory of delivery routes, as well as better coordinate delivery periods by reducing them along with fuel costs.

Increase in the level of customer focus. Planning and flexibility in logistics mean better service and lower logistics costs. For logistics service providers, AI will help automate routine tasks such as writing emails and creating content. AI-powered tools are being used to analyze customer behavior, providing more accurate sales and marketing insights.

Automation of warehouses and processing centers. AI integration in delivery apps allows to automate warehouses and order processing centers that can improve efficiency and reduce turnaround time. It involves the analysis of external information, including weather, traffic jams, and other factors that affect the delivery time and operation of the supply chain. The use of software and programs for managing logistics processes integrates all collected data and automates many processes.

AI into Your Delivery App

How is it possible to Incorporate AI into Your Delivery Applications?

The implementation of AI in delivery apps occurs gradually based on the needs of the clients. The incorporation of AI can find application in such options as:

Smart roads. Combining AI with sensors, RFID tags, satellite monitoring systems, and 5G networks can give a powerful boost to the development of smart roads. They are a component of the smart city concept, which uses advanced information technologies to facilitate planning, construction, management, and maintenance. Smart road technology will improve safety and reduce supply chain delays caused by adverse weather conditions and traffic incidents.

Demand forecasting and inventory management. With the help of AI machine learning, companies can predict the demand for products depending on features of certain regions and other parameters, such as weather conditions, events, etc. Algorithms are also used to optimize inventory management in warehouses.

Chatbot Integration for Better Customer Support

AI integration in delivery apps allows clients to enjoy the advantages of chatbots performing a wide range of functions. Process optimization in logistics companies is one of the most effective ways to save time and human resources and increase employee productivity, and customer satisfaction.

In the field of logistics, communication plays a key role. The process of customer retention becomes more difficult in economically unstable times, as the level of anxiety increases. Even a few minutes of a delay in an order or an untimely call can lead to a negative impression of the company and bad reviews on the Internet. In this case, chatbots can:

  • Neutralize stressful situations, excluding the human factor
  • Involve a potential client in a dialogue
  • Evaluate the user’s behavior during communication
  • Change the script
  • Improve interaction with online stores

The current trends show that logistics businesses increasingly prefer the use of chatbots.

Do you already use chatbots?

Drone delivery methods and how AI is related to this point.

Trends in the development of the global market indicate that the future belongs to AI technologies. Drones and robots are penetrating all areas of production and services, by reforming, simplifying processes and making them more automated. Business owners need to think about the development and implementation of AI in delivery apps now, as it will help to gain a long-term competitive advantage in the market. According to the statistics, drone logistics will reach 17,881 million dollars by 2030.

The main advantages of this method of delivery imply: 

  • Independence from the restrictions of transport infrastructure
  • High delivery speed
  • The possibility of very high accuracy of delivery thanks to the GPS sensor
  • Less environmental harm than transport trucks or cars show
  • High energy efficiency

Drone delivery methods in AI

How can AI help optimize costs in the process of delivering goods?

Choosing the right solutions requires a careful analysis of the strengths of this technology, combined with a multivariate assessment of the expected help of this technology and the inevitable costs. TRIARE allows clients with different budgets to enjoy the benefits of AI technologies. 

The implementation of AI in delivery apps provides the following options to optimize costs in the process of delivering goods: 

Anti-fraud and financial monitoring. AI is used to counter financial fraud by analyzing the atypical behavior of individuals and legal entities. 

Effective financial planning. AI allows clients to take into account a huge number of the risks during creation of a financial forecast of expenses and income by relying on smart ways to save budget. 

Saving customer money. The system guided by AI can develop the most profitable routes for transportation to reduce customers’ costs by increasing their loyalty to the company.

Smart budgeting. Well-thought-out financing of all stages of logistics transportation represents a basis to receive high business profitability in any logistics area.

AI help optimize costs

What business problems are AI ready to solve in the process of delivering goods?

Online delivery apps based on the Al technologies can solve such business problems  in the process of delivering goods as: 

Insufficiency of data. One of the key challenges in implementing technology in logistics implies the lack of access to the full amount of data needed to train AI algorithms. In such cases, the accuracy of the systems may be severely limited. However, the advanced software developed by TRIARE can eliminate this issue. 

Issues in adapting to individual needs. Each logistics company has its specifics and requires an individual approach to the implementation of AI solutions. TRIARE always prioritizes the needs and features of the clients.  

The need for highly qualified personnel. The implementation of AI in delivery apps requires extensive knowledge of artificial intelligence and its applications in industries. Companies that do not have enough specialists in this area may find it difficult to implement AI solutions.TRIARE supports its clients at all stages of software development and usage. 

Difficulty in introducing new technologies. The implementation of new AI technologies does not guarantee that they will become effective. It is important to create integration between systems, train staff to handle new technology and organize the information flow in a quality manner. TRIARE provides clients with the action algorithms to set up all processes. 

Risk of a data security breach. The introduction of AI can become a significant threat to the security of data and personal information. TRIARE guarantees the safety of all corporate data. 

Process of delivering goods

How TRIARE can integrate AI into your delivery app

TRIARE uses advanced methods and smart solutions for delivery app development by integrating AI into the software. This approach becomes possible through the implementation of such options as: 

  • The ultimate parcel delivery router
  • Advanced warehouse management system
  • Chatbots to reduce the burden on call center employees
  • Monitoring tools for financial flows
  • Intuitive widgets for pop-up reminders
  • Automation of mailings to users

TRIARE follows an individual approach to each client by taking into account the company’s strengths and potential development vector. Air logistics is one more instance of the high professionalism of TRIARE’s developers showing a detailed description of the application prototype. Check it to find out more about the opportunities occurring after the usage of an online delivery app by TRIARE. 


Delivery app development allows the TRIARE team to meet the needs of different customers by prioritizing the features of their business goals and requests. The individual approach makes it possible to achieve impressive results in the nearest future by optimizing all nuances of working processes. The innovation progress provided the developers with various program tools to integrate smart solutions into your business flows. Don’t waste time. Start optimization with us right now.

Anton Mali