Aidetic
@aidetic_in
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At Aidetic, we understand two things very well - AI and Startups. With our expertise and passion, we’re able to create value.
Bangalore, India
Joined October 2018
How @PepsiCo is using Artificial Intelligence in job interviews (A Thread) #AI #Artificialintelligence #machinelearning #Hiring #Jobs #Interviews
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Can you imagine conversing with employees in 106 countries using 32 languages during their onboarding process? (A Thread) #ArtificialIntelligence #HumanResources #AI #HRTech #HRDepartment #Hiring #Hiringapps #Unilever
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Are you curious? Do you want to know how to use Big Data implementations in your business? Contact us. Together we will find a satisfactory solution.
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Allow the numbers to talk. #eBay system handles oversees data velocity with 6 billion writes and 5 billion reads daily and stores 250 TBs of data.
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#eBay Do you know the reason behind supporting data at a massive scale and conveying customised and connecting with client experience on the world's most significant online market?
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#CVS started an automated program of texts, phone calls, and emails to remind people to refill their prescriptions which helped them increase the numbers exponentially.
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#CVS The US's second-biggest pharmacy chain, because of Big Data, found that 1/3rd of consumers quit taking recommended medication following one month, and half halted following a year. How did they respond?
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#MACY Macy streamlines local products to reach individual client sections in specific product sectors. The organisation investigates out-of-stock rates, sell-through rates, & cost evolutions & affiliates these with SKU information from an item at the overall setting.
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#MUJI MUJI uses big data to personalise shopping experiences. More than 2 TBs of trade & clickstream information across 2-millions registered customers equip them with proposals on what to purchase, helping retailers cross-selling & up-sell items & building new revenue streams.
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AI and big data insights gave #Walmart’s website a more robust e-commerce assortment, expanding from 700,000 items in 2011 to 60 million in 2017.
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#WALMART The world's biggest retailer turned to big data to spot gaps in its online assortment, scan the e-commerce landscape to gather insights on emerging product trends, and pull less popular and poorly-reviewed products from its online diversity.
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Studies show that you can achieve 73% higher sales by implementing AI in e-commerce analytics. Find out how successful companies are using AI in e-commerce analytics. #BigData #ArtificialIntelligence #DigitalTransformation #EcommerceAnalytics #Analytics
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BETTER CUSTOMER UNDERSTANDING With AI, analysing data from various sources can be done quickly, & you can uncover crucial insights easily. AI gives you a deeper insight into defaulters & helps you create more practical debt-recovery strategies.
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STREAMLINING PROCESS Executing AI through processes according to customers makes it easier for collections. AI can detect the pain points that might delay debt recoveries and mitigate them. It is also possible to gauge where the business went wrong and how to recover the amount.
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IMPROVING COMMUNICATION Virtual assistants & chatbots can be utilised to scale their outreach. AI can detect when a debtor is online & send reminders accordingly. It can also identify each customer's preferences & adjust communication plans to boost response & collection rates.
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Labour costs can be reduced by 36% with AI in debt collections. Find out how AI can be used in financial collections. (A thread) #AIindebtcollection #ArtificialIntelligence #Aiinbanking
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59% of Financial Institutions are in the stage of transition while only 29% have fully-implemented AI. If you are in the former category, here are some - GUIDELINES TO HELP YOU DESIGN AI STRATEGY (A thread)
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The war for AI talent has been intense, especially for those who couple AI skills with experience in the financial industry. But you can lead the fight with AIDETIC. Want to know how our AI expertise can help you? Connect to us at hello@aidetic.in
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ACQUIRE AI EXPERTISE Access to professionals skilled in rapidly evolving AI technologies will be essential. The limited pool of qualified candidates has soared salaries, which has been a critical motivation for major financial services companies to partner with fintech startups.
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ENCOURAGE EXPERIMENTATION AND DISCIPLINE There are no ready-made AI solutions, & each FI will need to chart its path forward. This will require high tolerance for risk-taking & innovation while balancing that with rigorous testing & measurement of ROI & tangible business value.
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