What is AI-based decisioning?
Artificial intelligence (AI) enables computers and machines to perform tasks that require human-like intelligence. AI is used by machines to learn with experience, do problem solving, and exhibit decision making capabilities just like the human mind.
Benefits of AI-based decisioning
1) Helps in automation
Industries leverage automation to streamline their business process and improve efficiency. AI enables companies to automate several tasks like auto job assignment, intelligent routing and scheduling, and more.
2) Smart decision making
AI analyzes trends, provides forecasts, predicts uncertainties, and helps make smarter decisions for business growth.
3) Enhanced customer experience
AI-based solutions can help businesses respond to customer queries and grievances faster. AI-based chatbots are a perfect example that allows personalized messages to customers and provides the best solutions to their needs.
4) Research and data analysis
AI helps analyze vast amounts of data and understand various scenarios and their outcomes. It also speeds up the research and development process.
5) Solving complex problems
From medical diagnosis, fraud detection to weather forecasts, AI helps businesses across various industries to find the right solution for their specific challenges. Higher efficiency in solving problems helps in higher productivity and reduced overhead expenses.
6) Minimizes errors
It reduces the chances of manual errors and makes systems more efficient for handling tasks.
7) Increased efficiency
AI executes repetitive tasks without mistakes and helps to deliver the same performance and consistency. This improves business efficiency, and employees can focus on other business tasks.
Use cases of AI based decisioning
1) Field service management
Scheduling field agents based on their skills and type of work is a time-consuming activity. AI helps to auto-schedule field agents for jobs and also automates work order planning.
2) Claims management
While recovering debt, Dista Collect, our collection management platform leverages AI to learn payment patterns and helps with positive and negative areas to mark delinquencies. Also, the intelligent system assigns the right lead to the right agent based on proximity, priority, availability, travel time, and skillset.
3) Delivery management
AI-based decisioning is used to provide efficient routes to drivers for reaching destinations on time. It also helps to send messages to customers for real-time tracking of the delivery.
4) Fraud analysis
Financial companies leverage AI to analyze data in terms of fraud for various locations. They can make intelligent decisions to focus on targeting customers belonging to areas where delinquencies are minimum.
5) Customer support
Businesses use AI chatbots to answer customer queries and provide relevant information. It analyzes and interprets customer interactions and helps improve the quality of service offered.
Using AI, companies can understand their customers and focus on developing marketing strategies. Businesses can retarget customers who have shown interest in their product or service in the past and send them personalized messages and display relevant ads.
The proximity-based marketing campaigns also use AI, where businesses can target relevant customers in the physical stores’ close vicinity.
AI offers sales forecasts based on past sales outcomes. In pre-sales, AI can be used for lead generation, guiding sales reps to focus on specific companies. Also, AI can help sales managers close deals by providing prices based on sales data about customers, location, size, etc.
Which industries use AI-based decisioning?
BFSI industry leverages AI for customer identification and authentication, conversations with customers through chatbots, and for providing personalized services. Payment frauds and other delinquencies are also analyzed, and prevention of such events is possible with AI-based decisioning.
AI helps the financial industry streamline and optimize processes ranging from credit decisions to quantitative trading and financial risk management. It is a prime driver of automation that helps the banking sector develop a better understanding of its customer’s behavior. With AI, banks can recognize the customer’s choices based on their previous interactions, transactions, and current trends.
Fleet management and asset tracking are essential aspects of logistics management. Companies use AI to estimate average fuel consumption, maintenance, and repair of fleets, driver safety, real-time tracking, and more. AI-based route optimization helps provide the best routes for distance, weather conditions, traffic status, ETA, and more.
3) Quick service restaurants (QSRs)
Quick service restaurants (QSRs) leverage AI to provide better customer service and get insights about customer behaviors and provide personalized product offers. Geo-targeting coupled with AI helps restaurants target customers with special offers and personalized ads.
AI is used to boost sales for retail products by pricing to attract customers. AI-based decisioning is used to categorize a variety of products systematically to help improve sales.
According to report from MarketsandMarkets the global artificial intelligence (AI) market size will grow from USD 58.3 billion in 2021 to USD 309.6 billion by 2026, at a Compound Annual Growth Rate (CAGR) of 39.7% during the forecast period.
In the last decade adoption of AI based tools and solutions have increased in the sectors like healthcare, logistics, BFSI, retail and many other industries. In this technology driven era AI has much more to offer and its applications are also going to expand in the future.