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Agentic Commerce, B2C, eCommerce, Retail

Move over Agentic Commerce, Catalog Commerce is here: Why Amazon’s Holiday Catalog is a Stroke of Genius

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Move over, Agentic Commerce, Catalog Commerce is here: Why Amazon’s Holiday Catalog is a Stroke of Genius While the industry obsesses over social commerce and AI shopping agents, Amazon is relying on the oldest playbook in retail: the physical catalog. This isn’t corporate nostalgia; it’s strategic brilliance disguised as anachronism. The smart money missed the analog anchor effect in an era of digital overwhelm. The Power of Contemplative Browsing The Amazon catalog sits on the coffee table for weeks – dog-eared and annotated, while endless TikTok shopping feeds disappear instantly. This physical artifact creates an “analog anchor” that interrupts our digital acceleration, forcing contemplative browsing instead of impulse clicking. Consider the difference in cognitive load:  01 Digital Shopping Fractured attention across infinite streams, sponsored content, and invisible algorithms manipulating choices. 02 Catalog Shopping Liberation from choice paralysis. The catalog eliminates chaos through brutal editorial constraint: finite pages, curated selection, and linear navigation. Algorithmic personalization often optimizes for immediate conversion, not long-term satisfaction. The algorithm wants you to buy now, but the curated catalog offers a trusted, finite pathway to the right thing. Rebuilding Trust in an Era of Algorithmic Skepticism Amazon’s catalog strategy is about rebuilding trust, which has plateaued in the digital age. Gen Z and Gen Alpha assume every digital recommendation is manipulated—a consequence of hyper-personalized, engineered feeds. This algorithmic skepticism is a trust crisis. Physical catalogs entirely sidestep this issue: Transparency Everyone gets the same curated selection. There is no hidden algorithmic layer optimizing for unknown corporate objectives. Shared Reference Points When a neighbor sees the same gift suggestions, it feels authentic rather than manipulative. Commitment Printing and mailing costs force Amazon to stand behind its product curation in a way digital platforms never do. Every catalog item represents a real commitment. A Bridge Across the Generational Divide The real genius lies in household purchasing dynamics. While venture capitalists focus on AI agents, high-value and holiday purchase decisions involve multiple generations. Gen X and Boomers control disproportionate purchasing power for major categories (gifts, home goods). These demographics: Never fully migrated to social commerce. Are skeptical of personalized AI recommendations. Trust catalogs in ways they will never trust algorithmic feeds. The catalog influences the family patriarch choosing the budget or the Gen X parent deciding on household upgrades. These considerations happen in analog space, and the orders then flow through digital channels for fulfillment. This creates an omnichannel strategy that pure-play digital competitors cannot replicate. TikTok can optimize for viral discovery among teenagers, but they can’t influence major household decisions flowing from a trusted, physical artifact. Preserving the Romance of Shopping Shopping is not just about utility; it’s about aspirational identity, social bonding, and cultural participation. Catalogs preserve the romance of browsing and the serendipity of discovery – psychological dimensions that algorithms focused on efficiency inadvertently destroy. As noted by the NRF’s Vice President of Industry and Consumer Insights, Katherine Cullen, in a recent episode of the Retail Gets Real podcast, catalogs remain a familiar and trusted source of holiday inspiration. Conclusion Amazon’s “backwards” strategy recognizes that human behavior is more complex than algorithmic optimization assumes. You must meet customers everywhere. The physical catalog is a recognition that trust, contemplation, and shared cultural experiences matter more than personalization precision. This is why retailers should experiment with diverse, multi-pronged strategies instead of going 100% all-in on digital. Sometimes, the old way is the strategic way to secure a larger share of the customer’s wallet. If you are at a Retailer/Brand, what strategies have you tried this year to meet customers where they are? If you work for an Agency, what strategies have you seen your clients use to help more shoppers discover your clients’ brands? LinkedIn X Email Author Details Ranjith Maniyedath Managing  PartnerAs the Managing Partner and Co-Founder of Perfaware, I lead a team of digital transformation and omni-channel commerce experts who provide end-to-end solutions for complex eCommerce, Order and Inventory management systems. With over 23 years of experience in technical consulting and enterprise application deployment, support, and testing, I have successfully implemented, tested, and tuned multi-million dollar supply chain solutions for customers across diverse markets and industries in the US, Latin America, UK, Asia and Australia. My core competencies include global service delivery and operations, services sales, team building and leadership, problem solving, and business technology consulting. I have a strong domain expertise in supply chain management, omni-channel fulfillment, order management, warehouse management, supply collaboration, inventory synchronization, reverse logistics, and business integration. My mission is to help clients optimize their digital commerce operations at scale through innovative and customized solutions.

AI, By Industry, Health and Lifescience (HLS), IBM, Inventory, Retail, Salesforce, Salesforce OM, Service Cloud, Sterling Intelligent Promising, Sterling OMS

Why Modern HLS Organizations Must Rethink Order Fulfillment — and How Salesforce OMS Helps

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The Healthcare and Life Sciences (HLS) industry is undergoing a massive shift. Driven by the need for digital-first, patient-centric, and omnichannel experiences, HLS organizations are rethinking every aspect of how they engage providers, patients, and partners, especially when it comes to order fulfillment. Yet many still rely on legacy systems that are fragmented, inflexible, and not designed for the modern healthcare delivery landscape. At Perfaware, we believe it’s time to modernize fulfillment and that Salesforce Order Management System (OMS) offers a powerful path forward. The Problem: Fragmented Systems, Broken Experiences For many HLS enterprises — whether pharma, medtech, digital therapeutics, or biotech — order fulfillment is a patchwork of disconnected platforms, manual workarounds, and compliance risks. This leads to: Lack of visibility across the order lifecycle Delays in sample shipments and product delivery Frustrated providers and patients Compliance and cold chain tracking challenges Missed opportunities for engagement These problems aren’t just operational — they affect patient outcomes, field rep effectiveness, and brand trust. The Opportunity: Unified, Intelligent Fulfillment with Salesforce OMS Salesforce OMS enables HLS organizations to unify their order capture, fulfillment, and servicing on a secure, scalable, cloud-based platform — fully integrated with Salesforce Customer 360 and compliant with industry standards like HIPAA. End-to-End Visibility Track every order from initiation to delivery across providers, patients, clinical sites, and partners. Compliance at Scale HIPAA-compliant architecture with role-based access, audit logs, and traceability for samples, cold chain, and investigational products. Automation & Intelligence Reduce manual errors through workflow-driven orchestration, approval automation, and AI-powered anomaly detection. Seamless Integration Connects with ERP, supply chain, WMS, CRM, clinical trial systems, and marketing platforms — no more silos. Real Impact Across the HLS Value Chain Whether you’re supporting clinical trial logistics, patient access programs, field sales, or digital marketing, OMS becomes the operational glue that improves: Function OMS Impact Clinical Trials Compliant sample and site shipments Supply Chain Demand planning + cold chain tracking Sales Reps Real-time order placement and tracking Patient Services SLA-based fulfillment of starter kits Marketing Campaign-triggered ordering for samples Customer Support Integrated service for order issues Perfaware’s POV: How We Approach the Transformation At Perfaware, we’ve developed a phased roadmap tailored to HLS clients: Phase 1: Foundation & Enablement Secure, HIPAA-compliant order capture Core workflows: tracking, reshipments, exchanges API connectivity to ERP, WMS, and trial systems Phase 2: Operational Scale Study-specific configurations and forms Real-time shipment and carrier integration Role-based dashboards and insights Phase 3: Intelligence & Automation AI for replenishment and anomaly detection Mobile-ready order UX Intelligent routing and compliance workflows Phase1Foundation & Enablement • Secure, HIPAA-compliant order capture •  Core workflows: tracking, reshipments, exchanges •   API connectivity to ERP, WMS, and trial systems Phase2Operational Scale • Study-specific configurations and forms • Real-time shipment and carrier integration • Role-based dashboards and insights Phase3Intelligence & Automation • AI for replenishment and anomaly detection • Mobile-ready order UX • Intelligent routing and compliance workflows Why Perfaware We are not just Salesforce experts — we are also HLS domain veterans. From Fortune 500 companies to small and mid-sized businesses, our team brings deep industry expertise, operational excellence, and a proven track record of success. Headquartered in Dallas with teams in Mexico, Chile, and India, we bring agility and scale to every engagement. LinkedIn X Email Author Details Srinivas Hanmandlu Managing Partner

AI, IBM, Inventory, Retail, Sterling Intelligent Promising

AI-Powered Enhancements to SIP

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AI-Powered Enhancements to SIP In today’s fast-paced world driven by rapidly evolving technologies, every industry is striving to stay ahead. Over the past decade, the retail sector has undergone a significant transformation, enhancing customer experience through innovations like same-day delivery and drone-based logistics. One of the leading providers of supply chain solutions is IBM Sterling Commerce, which is continuously evolving to adapt to the dynamic needs of this industry. Its comprehensive suite of offerings includes Distributed Order Management (DOM), Sterling Intelligent Promising (SIP), Sterling Store, Sterling Call Center, and more. Now, as we enter the era of Artificial Intelligence (AI), the retail industry stands to gain even more. AI offers numerous opportunities to optimize operations and elevate the customer experience. AI is today’s reality and businesses are fast adopting the same.  What is one of the top priorities in the retail industry? A smarter, more efficient, enhanced and an accurate way to manage inventory. Retailers seek real-time inventory visibility into their stock to avoid stockouts, meet demands effectively and fulfill orders seamlessly across multiple channels. By reducing fulfillment times and streamlining service processes, retailers strive to exceed customer expectations and deliver a superior shopping experience that leads to greater customer satisfaction. The Premium edition of IBM Sterling Intelligent Promising (SIP) helps retailers lower fulfillment costs and improve inventory efficiency by leveraging predictive AI and machine learning. As a retailer, if we are facing challenges with inventory management or struggling to forecast and optimize orders, SIP can offer significant advantages. By analyzing historical data, its AI capabilities help reduce order cancellations, avoid stockouts and markdowns, and optimize costs. But how can we go beyond what SIP already offers? What does SIP really need to perform at its best? The answer is data—accurate, timely, and dynamic data. An AI-powered agent can be introduced that automatically updates the data fed into SIP in real-time. AI-Powered Dynamic Config Updates in SIP – SIP relies on extensive data configuration related to carrier services, such as zone definition, transit duration, and transit rates to accurately identify the most optimized fulfillment node for delivery. Some of these configurations can only be updated via REST APIs, with no user interface to verify or modify the uploaded data. This can make maintenance and updates challenging. However, by introducing an AI-powered assistant, these changes can be automatically captured and pushed to SIP in real time. This makes the system more responsive and adaptive to real-world changes. Store associates, logistics personnel, or admin users would only need to send a simple message about the change, such as a text or voice command and the AI would handle the rest, ensuring SIP has the latest information to make the smartest fulfillment decisions. It need not be limited to just logistics data, it could also update catalog information in real-time, thus reducing the manual work of navigating multiple screens or applications to update the data. AI-Powered Optimizer Data Diagnostics –  Another valuable use case for applying AI in SIP is the detection of exceptions in optimizer results, which are often caused by errors in the initial data configuration. During a recent go-live experience with the optimizer for one of our clients, we found that most issues were caused by zone data mismatches, missing capacity or calendar definitions, or incorrect delivery method setups.   An Agentic AI can proactively alert the business users about a missing calendar or capacity or any other configuration. AI Agent can continuously monitor the configuration data setup for all stores or zones and proactively take action. This would significantly reduce the risk of errors occurring in the production environment. Additionally, an AI-powered assistant can analyze optimizer results to quickly and accurately identify the specific data that led to unexpected results. For example, the AI could help explain why a particular node was selected as the winner—how it achieved the highest score and what factors contributed to that outcome.  This way, we could enhance the optimizer explainer output by not only providing clearer insights into the results but also offering actionable options to correct configuration anomalies. This approach would greatly reduce manual investigation efforts and significantly shorten the turnaround time for resolving production issues. Conclusion We can conclude that AI offers significant potential to enhance the capabilities of SIP for its clients. While we have explored only a few high-level use cases here, the opportunities extend far beyond, into business-specific scenarios that can be addressed through thoughtful AI integration. Looking into the future, we are aiming to explore and implement these advanced use cases, harnessing the full power of AI to drive innovation and efficiency. If you are looking to innovate your brand with AI solutions, we would love to collaborate. Reach out to us to explore these or similar fresh perspectives to bring your vision to life. LinkedIn X Email Author Details Divya Ravi Senior Manager – Technology A Senior Manager in the OMS practice at Perfaware, she has been leading key client engagements for over four years. With more than 15 years of experience specializing in IBM Sterling, she has successfully delivered go-live implementations across the US, Europe, LATAM, and Asia. Her expertise spans IBM Sterling OMS, including Call Center and Web Store solutions, and she has led several agile teams to success. She is passionate about leveraging emerging technologies to drive innovation and deliver scalable, future-ready solutions for global clients. Divya Ravi Senior Manager – TechnologyA Senior Manager in the OMS practice at Perfaware, she has been leading key client engagements for over four years. With more than 15 years of experience specializing in IBM Sterling, she has successfully delivered go-live implementations across the US, Europe, LATAM, and Asia. Her expertise spans IBM Sterling OMS, including Call Center and Web Store solutions, and she has led several agile teams to success. She is passionate about leveraging emerging technologies to drive innovation and deliver scalable, future-ready solutions for global clients.

Retail

Accelerator Sfom

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Let Perfaware Accelerators for B2B Commerce guide your Salesforce Order Management implementation to the North Star! B2B Companies often face various challenges that impact their operations and customer experience. The challenges include complex buying processes, managing large orders, leveraging the entire omnichannel fulfillment, etc. The challenges in omnichannel fulfillment include: Inventory Segmentation Fair Share Allocation Dynamic Routing Rules Sourcing Explainer Perfaware Accelerators have been designed to help these companies overcome these omnichannel obstacles, enabling them to streamline their processes and deliver exceptional customer service. Inventory Segmentation: Segment Inventory by channel at a physical location instead of multiple channels eating into a single pool of inventory leading to backorders, short picks, etc. Perfaware Inventory Segmentation solution leverages Omnichannel Inventory to allocate inventory by channel, region, or customer based on predicted demand to reduce backorders in channels with high order volumes. Fair Share Allocation B2B companies need the ability to change allocation percentages based on demand and supply signals dynamically.  Perfaware Fair Share allocation accelerator maintains the inventory split per product per location that can be changed dynamically using a configuration screen thereby giving more control to the companies Supply Chain team that monitor the Supply and Demand signals. Dynamic Routing Rules B2B companies need to dynamically route inventory to channels with low demand.  Perfaware Dynamic Routing Rules allows B2B companies to use inventory from other channels to fulfill more orders, leading to more efficient allocation of on-hand inventory. Business Users are provided the capability to add or remove location groups from the fulfillment network based on business decisions. Actionable Insights B2B Companies need insights into the reason why an order got routed to a particular location. This becomes paramount because B2B companies deal with large orders and they need to be able to source the order from the most optimal fulfillment location taking into account various criterias e.g. Shipping Cost, Processing Cost, Speed of delivery, Fulfillment Constraints. Perfaware solution keeps track of key allocation decisions like proximity, inventory positions, processing cost, etc. and provides the business user the ability to see how the routing decisions were made and the inventory snapshot at the specific time. Partner with Perfaware to unlock your B2B potential Need to see a demo of these features?  Reach out to us LinkedIn X Email

By Industry, Retail

Insights from 2024 Cyber Week

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Digital Commerce and OMS excellence scales new heights – The good, the bad and the exciting from 2024 Cyber Five The 2024 holiday shopping season witnessed record breaking sales in the US and around the world. Sales figures for both online and in-store sales grew as more countries embraced the Cyber five period to kickoff the seasonal holiday shopping.  After studying a flurry of posts from Perfaware’s enterprise software vendors (IBM, Sterling and Kibo), mainstream and Retail media outlets over the last 2 weeks here are my takeways. Global online spending during Cyber Week reached unprecedented levels, with Salesforce reporting $314.9 billion in global sales and $76 billion in the U.S. What bodes well for Retailers is that they could see modest gains in YoY sales without discounting heavily. Peeking underneath the covers of the “cyber week” or the “Cyber five” (Thanksgiving Thu to CyberMonday) reveal significant developments in consumer behavior and technological advances, offering valuable insights for retailers aiming to enhance their strategies. Leading OMS systems pass with flying colors Perfaware’s technology partners – IBM, Salesforce and Kibo – reported successful holiday seasons for their Retailer clients with their digital commerce solutions and OMS in particular scaling well to meet the holiday peaks. While IBM reported handling 42M orderlines and 6+B API calls during Cyberweek for their SaaS clients, Salesforce sustained over 50M orders in this cyber 5 period for its Commerce Cloud solution. Kibo’s Unified Commerce Platform witnessed a YoY growth in transactions of over 11% from the prior year. Record-Breaking Sales and Mobile Commerce Growth This period accounted for 23% of all online holiday sales, marking a return to pre-pandemic shopping patterns. An interesting aspect is that: 126 million people shopped in-store (up from 121.4 million last year). And 124.3 million consumers shopped online this year, down from 134.2 million last year.  Mobile devices played a pivotal role, facilitating 70% of online purchases both in the U.S. and globally, underscoring the importance of mobile optimization for retailers. NRF reported Artificial Intelligence (AI) Driving Sales and Profitability AI significantly influenced consumer engagement, with $60 billion of global online sales during Cyber Week attributed to AI-driven personalized offers and interactions. Retailers leveraging AI and agents experienced a 2% higher conversion rate compared to those who did not, highlighting the effectiveness of AI in enhancing customer experiences. While Salesforce has been crediting Agentforce and Einstein AI for Commerce Cloud for improved personalization and conversion rates, IBM has announced AI optimized fulfillment decisions and inventory promising during browsing and checkout to improve conversion and profitability. In fact, IBM estimates the number of orderlines optimized for fulfillment by AI to be over 25M. Not all categories gained equally or were discounted the same way This year, apparel, beauty, and accessories led the charge in mobile purchases, with apparel sales peaking earlier in the week and beauty peaking late in the week. Electronics were the most marked-down category for the cyber five. Not all days showed the same traffic patterns Black Friday was the clear winner for online shoppers count and in-store shoppers. Cyber Monday, just as last year, saw the lowest mobile traffic out of the Cyber Five days, with 59% of visits coming from mobile devices. Not just an American holiday and shopping phenomenon anymore This major sale event which started off being limited to the USA has now becoome a global phenomenon with Europe, Asia Pacific including India, adopting this sales event and becoming part of the shopping cycle for customers and brands. Partnership and preparation that goes beyond just World class software Retailers who pulled off a successful cyber week do so with months of preparation – both from their side and working closely with their technology vendors and services partners like Perfaware. Our Managed Services clients benefited from our years of expertise in IBM Sterling OMS Suite (Intelligent Promising, Store, Call Center, OMS) , Salesforce Commerce Cloud (B2C, D2C, Order Management and B2B) and Kibo to predict, prevent, and address issues proactively and created recommendations to help achieve peak holiday success. Our Performance Engineering clients had load-tested, scaled and tuned their systems well  ahead of the peak shopping days. The Holiday readiness rooms established by our partners and the real-time monitoring and risk mitigation we partnered on ensured seamless performance and availability during peak traffic periods like Black Friday and Cyber Monday. If you are a Retailer or a Consultant serving Retail clients feel free to drop comments below about what you learnt or saw in the 2024 Cyber week.  To learn more how Perfaware’s services and solutions for Digital Commerce can help you deliver world class customer experience at scale get in touch. LinkedIn X Email Author Details Ranjith Maniyedath Managing  PartnerAs the Managing Partner and Co-Founder of Perfaware, I lead a team of digital transformation and omni-channel commerce experts who provide end-to-end solutions for complex eCommerce, Order and Inventory management systems. With over 23 years of experience in technical consulting and enterprise application deployment, support, and testing, I have successfully implemented, tested, and tuned multi-million dollar supply chain solutions for customers across diverse markets and industries in the US, Latin America, UK, Asia and Australia. My core competencies include global service delivery and operations, services sales, team building and leadership, problem solving, and business technology consulting. I have a strong domain expertise in supply chain management, omni-channel fulfillment, order management, warehouse management, supply collaboration, inventory synchronization, reverse logistics, and business integration. My mission is to help clients optimize their digital commerce operations at scale through innovative and customized solutions.

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