{"id":9205,"date":"2024-01-19T13:46:02","date_gmt":"2024-01-19T12:46:02","guid":{"rendered":"\/blog\/?p=9205"},"modified":"2024-03-13T13:52:50","modified_gmt":"2024-03-13T12:52:50","slug":"why-b2b-ecommerce-tech-leads-should-prioritize-product-discovery-asap","status":"publish","type":"post","link":"\/blog\/why-b2b-ecommerce-tech-leads-should-prioritize-product-discovery-asap\/","title":{"rendered":"Why B2B eCommerce tech leads should prioritize product discovery ASAP\u00a0"},"content":{"rendered":"\n

Chief Technology Officer, VP of Technology, IT Director – the list goes on, just like the ever-growing list of responsibilities for these tech leaders tasked with managing eCommerce experiences. The solution? Let’s jump in and explore. <\/em><\/p>\n\n\n\n

Tech leaders are expected to navigate an eCommerce terrain that’s becoming increasingly complex. It’s like they’re steering through a constantly evolving digital maze, with 74% of them in roles that pull them in every conceivable direction<\/strong><\/a>.<\/strong> They’re also facing a barrage of challenges: a shortage of IT professionals, clunky legacy systems, ever-looming cybersecurity threats and ongoing post-pandemic adjustments. It’s a tightrope walk as they work to tackle it all while still delivering an exceptional buyer journey. This is why choosing the right AI-powered product discovery vendor is critical, particularly in intricate sectors like B2B. It’s a transformative move that will make a tech lead and their team\u2019s lives easier by automating a wide range of tasks, meaning focus can be placed on providing better customer experiences and with fewer manual and technical resources. Even non-technical and non-IT professionals can make changes with the right vendor. <\/p>\n\n\n\n

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But how, exactly?<\/strong><\/h2>\n\n\n\n

AI-powered product discovery provides laser-accurate relevance in the choppy seas of product data and customer preferences. This technology goes beyond bringing order to chaos, though \u2013 it’s what customers now expect and demand, with remarkably on-point product suggestions and more. Whether you’re a CTO or IT manager, this means shifting from drowning in data to strategic planning with a clear mind. 
 
To get a broad look at what specific tools are on offer, we’re going to explore the standout modules you\u2019ll find in a top-tier product discovery solution, including smart recommendations, optimized search, ranking rules, analytics and tailored customer information. We’ll also delve into selecting the ideal vendor, the nuances of integration and the role AI-powered product discovery is poised to play in the near future of eCommerce. <\/p>\n\n\n\n

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Let’s start with AI-powered product recommendations<\/strong><\/h2>\n\n\n\n

Recommendations<\/strong><\/a> are fueled by AI, designed to meticulously analyze clicks, shopping carts, purchases and historical combined sales data to deliver the most relevant product suggestions. It can be combined with personalization<\/strong><\/a> <\/strong>to provide an even more tailor-made customer journey. Crucial for eCommerce tech leaders, recommendations are dynamic and adapt in real-time for each customer, identify subtle product links and align with individual tastes. It\u2019s especially useful for upselling and cross-selling, and while the AI can do most of the work automatically, businesses can also apply their own strategy, such as prioritizing higher margin alternatives or specific brands if they have a special contract with a distributor. These items can be displayed strategically across touchpoints like the homepage, product pages, pop-ups and the cart to drive conversion rates.  
 
And importantly for a tech lead with a keen eye on their tool budget, recommendations tend to pay for themselves within a short span of time, yielding a healthy ROI thanks to the simple delight of a customer getting more than what they bargained for, in the best way possible. <\/p>\n\n\n\n

What does this mean for me?<\/strong> <\/p>\n\n\n\n