"Looking at this, the intricate world of artificial intelligence is truly fascinating! From optimization practices to leveraging AI for business growth and its impact on consumers, there are countless examples. While some AIs may seem overly complex, particularly given the immediate needs of businesses, companies don't necessarily need to overcommit to investing in them right away.
On the flip side, as media continues to buzz about artificial intelligence and automation, there's growing pressure to understand the realities of these technologies. To alleviate this anxiety, we've compiled 11 perspectives from tech leaders on AI, offering deeper insight into today's research and its implications.
1. AI Isn’t Always the Right Solution
Companies must thoughtfully assess whether AI aligns with their growth trajectory. If so, an orderly roadmap ensures consumer satisfaction and product vitality.
Jason VandeBoom, Founder and CEO of ActiveCampaign, a marketing automation and CRM platform for SMBs, says:
Many times, AI is adopted as a quick fix for existing business challenges. However, companies should tread carefully—AI isn’t a ‘quick fix.’ Marketers shouldn’t blindly follow trends. Expediency often leads to non-personalization. Instead, solutions should be tailored to specific needs, not generic ones. Before jumping into AI, ask if your company genuinely requires it. If not, find a personalized approach suited to your business rather than being swayed by hype. Also, remember that 'garbage in equals garbage out.' When integrating data-driven techniques, leaders must first organize and classify data effectively.
[Image: http://i.bosscdn.com/blog/Lt/tY/ao/7IBLox1eMuDJQ2dbyo0vX2IHncDDSxDBKPm8AyN1504165690934.jpg]
2. AI Offers Operational Insights for B2B Supply Chains
AI can optimize B2B data, boosting efficiency and providing valuable consumer insights while automating inventory management.
Ray Grady, President and Chief Culture Officer of CloudCraze, the only B2B commerce platform built on Salesforce, states:
Although B2B is still emerging, AI holds immense potential to revolutionize e-commerce operations and buying experiences. By analyzing consumer needs and comprehensive data, AI transforms business-customer interactions and enhances internal processes. Combining consumer behavior with external data like weather forecasts and regional trends offers suppliers actionable insights for pricing, inventory, and promotions. AI also simplifies inventory management and order automation, ensuring balance and increasing profitability.
[Image: http://i.bosscdn.com/blog/Gh/G9/Yf/Nj95j2138F5EZs19swJ1Djeqd1x5X9NCskC9N.jpg]
3. AI Creates More Personalized Digital Experiences
Retailers can enhance customer experience via AI-driven personalization.
ED Kennedy, Senior Commercial Director of Episerver, a cloud-based platform managing digital content and marketing, notes:
AI is often misunderstood and overhyped in business. Retailers should view it as a tool to elevate customer experience. Personalization is a key area where AI excels. Consumer demand for personalized experiences is growing. Our study shows over a third of consumers feel brands fail at personalization, missing out on significant revenue. Machine learning, a subset of AI, uses real-time behaviors and historical data to recommend personalized products, promotions, and content. Retailers are now extending AI-based personalization beyond websites and apps to physical stores, such as interactive mirrors showcasing relevant products.
[Image: http://i.bosscdn.com/blog/cf/1D/zs/s6u0EthclhVSz763VXsuJKjnN6mngdFkxjEquRE1504165868429.jpg]
4. AI Solves Longstanding Retail Challenges
Search, inventory, and pricing can all benefit from AI.
Michael Fauscette, Chief Research Officer at G2 Group, a business software review platform, explains:
In retail, AI primarily solves three core issues: helping customers find products online and offline, optimizing inventory placement, and adjusting prices dynamically. An AI-powered search engine improves product discovery, while chatbots manage interactions. AI-driven inventory forecasting determines optimal stock levels and locations, optimizing product categorization. Dynamic pricing engines monitor competition and adjust prices in real time. These tools process vast datasets and adapt based on feedback, enhancing efficiency.
5. AI Listens to Customer Voices
AI leverages dynamic machine learning, NLP, and speech analysis to gather consumer insights.
Spencer Morris, VP of Big Data Science at InMoment, a platform focusing on customer experience analytics, observes:
AI is transforming practical tasks by adding relevance and personalization to human-machine dialogues. Brands we work with already employ AI in feedback scenarios, dynamically adjusting follow-up questions based on consumer responses. Real-time social listening and emotion analysis enable brands to address issues like supply chain disruptions or legal emergencies. AI monitors human conversations, detecting anomalies and warning of potential risks. This 'Super AI' handles complex data faster than human analysts, automating tasks and supporting human decision-making.
[Image: http://i.bosscdn.com/blog/sd/sq/AL/Cqx6b7UgHrM7m7K3PL1YP2G0YMvjJ5mzjHIhqaP1504165947796.jpg]
6. AI Revolutionizes Customer Service
Chatbots are becoming integral to interactions, including retail.
Greg Reda, Head of Big Data Science at Sprout Social, highlights:
Chatbots are more than a trend—they’re reshaping enterprise interactions. Unlike hype suggests, true AI chatbots are still evolving. Brands prioritize solving problems, not AI itself. By clustering similar queries, companies can better prioritize customer issues. Machine learning enables analysis and evaluation of common queries, streamlining bot development. Combining human intuition with AI-driven insights presents significant opportunities.
7. AI Transforms Targeted Advertising
AI optimizes ads for better targeting.
Jason Nesbitt, VP of Media and Agency Business at Strike Social, comments:
Our reports show YouTube’s retail ad view rates are 76% lower than average. Advertisers can leverage AI to segment the 18-34 demographic, tailoring campaigns based on demographics and goals. This approach opens new avenues for achieving better outcomes.
[Image: http://i.bosscdn.com/blog/SY/J8/UE/fcX80trD1oaRdxmvB3fvGeVXe2gXpOs9p=uGTdT1504166033921.png]
8. AI Enhances Physical Retail Experiences
In-store chatbots engage shoppers and improve experiences.
Matt Fleckenstein, CMO of Nintex, notes:
Retailers are increasingly integrating AI into stores, using robots and chatbots to assist shoppers. Voice-controlled robots guide customers to products, while some retailers experiment with automated order fulfillment. E-commerce has long used AI for recommendations—Amazon’s 35% of sales stem from AI-driven suggestions. Voice assistants like Alexa will soon recommend products autonomously.
[Image: http://i.bosscdn.com/blog/qg/21/Ub/L6NK3lThx1X36G8x0ZakYpH8fn=jmKCfzTnl3hd1504166144938.jpg]
9. AI Optimizes Online Shopping
AI streamlines operations and enhances shopping paths.
Barry Pellas, CTO at PointSource, Globant, explains:
AI’s true value lies in operational efficiency and personalized shopping paths. Retailers must identify practical applications to avoid deploying solutions without strategic value. Combining AI with brick-and-mortar strategies creates personalized experiences. Predictive analytics help anticipate customer actions, guiding them toward conversions. Continuous learning cycles drive better outcomes.
10. AI’s Threshold is Lowering
With more players joining, AI risks diminish.
Erik Brown, Technical Director at West Monroe Partners, adds:
The abundance of data and accessible tools like Google’s TensorFlow democratize AI development. Retailers lacking R&D resources can now create smarter models for recommendations, predicting preferences, or handling real-time interactions. Opportunities abound.
11. AI Brings Unprecedented Personalization
Personalization reaches new heights across e-commerce.
Ken Yontz, VP of Global Transformation Management at WorldSync, concludes:
AI transforms product data, enhancing supply chains and customer-facing content. Manufacturers gain deeper insights into consumer preferences, optimizing product development. Consumers receive individualized content, not generic templates. Product data empowers both sides.
The AI journey continues—your choice is to participate or observe. Either way, it’s an exciting time."
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