1import{j as e,N as n,L as r,z as d,e as l,f as c,D as m,J as x,C as i,A as h,c as u,F as p}from"./index-CRQcHE7J.js";import{A as g}from"./arrow-left-B5yc0xhw.js";import{L as b}from"./lightbulb-CJOKsJN1.js";const o=[{icon:l,stat:"+12%",label:"Conversion rate"},{icon:c,stat:"+18%",label:"AOV uplift"},{icon:m,stat:"-22%",label:"CAC reduction"},{icon:x,stat:"6.4x",label:"ROI"}],N=()=>e.jsxs("div",{className:"min-h-screen",children:[e.jsx(n,{}),e.jsx("section",{className:"pt-28 pb-12 md:pt-36 md:pb-16",children:e.jsxs("div",{className:"container mx-auto px-4",children:[e.jsxs(r,{to:"/customer-success-stories",className:"inline-flex items-center gap-1 text-sm text-muted-foreground hover:text-foreground transition-colors mb-8",children:[e.jsx(g,{className:"h-4 w-4"})," Back to Success Stories"]}),e.jsxs("div",{className:"grid grid-cols-1 md:grid-cols-2 gap-8 md:gap-12 items-center",children:[e.jsxs("div",{children:[e.jsx("span",{className:"inline-block text-sm font-semibold uppercase tracking-wider text-primary mb-3",children:"Case Study"}),e.jsx("h1",{className:"text-2xl md:text-4xl lg:text-5xl font-heading font-bold mb-4",children:"How Sugar Riot Increased Revenue and Conversions with Morvo AI Personal Shopper"}),e.jsx("p",{className:"text-muted-foreground text-lg",children:"Discover how Morvo's AI commerce intelligence layer transformed product discovery, unlocked buyer insights, and drove measurable commercial uplift for Sugar Riot."})]}),e.jsx("div",{className:"rounded-2xl overflow-hidden shadow-glow border border-border/50",children:e.jsx("img",{src:d,alt:"Sugar Riot ecommerce brand using Morvo AI personal shopper for fashion product discovery",className:"w-full h-auto"})})]})]})}),e.jsx("section",{className:"py-8 md:py-10 bg-gradient-primary",children:e.jsx("div",{className:"container mx-auto px-4",children:e.jsx("div",{className:"grid grid-cols-2 md:grid-cols-4 gap-6 max-w-5xl mx-auto",children:o.map(({icon:s,stat:t,label:a})=>e.jsxs("div",{className:"bg-white/10 backdrop-blur-sm rounded-xl p-8 text-center border border-white/20",children:[e.jsx(s,{className:"h-8 w-8 text-white/80 mx-auto mb-3"}),e.jsx("p",{className:"text-4xl md:text-5xl font-heading font-bold text-white mb-1",children:t}),e.jsx("p",{className:"text-white/80 text-sm font-medium",children:a})]},a))})})}),e.jsx("section",{className:"py-8 md:py-10",children:e.jsxs("div",{className:"container mx-auto px-4 max-w-3xl",children:[e.jsx("h2",{className:"text-[1.5rem] xl:text-[2.25rem] font-heading font-bold mb-8",children:"Company Snapshot"}),e.jsx("div",{className:"grid grid-cols-1 sm:grid-cols-2 gap-6",children:[{title:"Brand",value:"Sugar Riot"},{title:"Industry",value:"Fashion"},{title:"Focus Area",value:"AI-powered product discovery and conversion optimisation"},{title:"Objective",value:"Deliver a personalised shopping experience that increases AOV and conversion without compromising brand voice"}].map(({title:s,value:t})=>e.jsxs("div",{children:[e.jsx("p",{className:"text-xs uppercase tracking-wider text-muted-foreground font-semibold mb-1",children:s}),e.jsx("p",{className:"text-foreground",children:t})]},s))})]})}),e.jsx("section",{className:"py-8",children:e.jsx("div",{className:"container mx-auto px-4 max-w-3xl",children:e.jsxs("blockquote",{className:"border-l-[3px] border-primary bg-muted/30 rounded-r-xl p-6 md:p-8",children:[e.jsx("p",{className:"text-lg md:text-xl italic text-foreground mb-4",children:'"We had Morvo live on our site within a day. The integration was painless and the quality of the AI responses genuinely surprised us. It felt like it understood our brand from the start."'}),e.jsx("footer",{className:"text-sm text-muted-foreground font-medium",children:"Founder, Sugar Riot"})]})})}),e.jsx("section",{className:"py-8 md:py-10",children:e.jsxs("div",{className:"container mx-auto px-4 max-w-3xl",children:[e.jsx("h2",{className:"text-[1.5rem] xl:text-[2.25rem] font-heading font-bold mb-6",children:"The Challenge"}),e.jsx("p",{className:"text-muted-foreground mb-6",children:"Sugar Riot had built a loyal following but as their catalogue grew, customers found it increasingly difficult to discover the right products. The team identified several core issues:"}),e.jsx("ul",{className:"space-y-4",children:["Customers struggled to navigate a growing product catalogue, leading to decision fatigue","High bounce rates on category pages with low engagement on product detail pages","Manual merchandising couldn't scale: curating recommendations for every customer was impossible","Generic site search returned irrelevant results, missing the nuance of customer intent","No visibility into what customers were actually searching for or how they described products in their own words"].map(s=>e.jsxs("li",{className:"flex items-start gap-3",children:[e.jsx(i,{className:"h-5 w-5 text-primary mt-0.5 flex-shrink-0"}),e.jsx("span",{className:"text-foreground",children:s})]},s))})]})}),e.jsx("section",{className:"py-8 md:py-10 bg-muted/20",children:e.jsxs("div",{className:"container mx-auto px-4 max-w-3xl",children:[e.jsx("h2",{className:"text-[1.5rem] xl:text-[2.25rem] font-heading font-bold mb-6",children:"The Solution"}),e.jsx("p",{className:"text-muted-foreground mb-6",children:"Sugar Riot deployed Morvo as their AI commerce intelligence layer, combining a brand-owned personal shopper with powerful buyer and product insights trained on their full product catalogue, brand tone, and customer FAQs."}),e.jsx("ul",{className:"space-y-4",children:["Deep product catalogue integration: Morvo surfaces the right products using real-time data, not static rules","Brand voice matching: every response reflects Sugar Riot's tone, personality, and values","Natural language product discovery: customers describe what they're looking for in their own words and get relevant, personalised results","Always-on availability: guiding shoppers 24/7 without additional headcount","Intelligent buyer insights: real-time visibility into customer intent, search behaviour, and product comparisons that traditional analytics never captured","Product intelligence: automated identification of underperforming products with high conversion potential, enabling smarter merchandising decisions"].map(s=>e.jsxs("li",{className:"flex items-start gap-3",children:[e.jsx(i,{className:"h-5 w-5 text-primary mt-0.5 flex-shrink-0"}),e.jsx("span",{className:"text-foreground",children:s})]},s))})]})}),e.jsx("section",{className:"py-8",children:e.jsx("div",{className:"container mx-auto px-4 max-w-3xl",children:e.jsxs("blockquote",{className:"border-l-[3px] border-primary bg-muted/30 rounded-r-xl p-6 md:p-8",children:[e.jsx("p",{className:"text-lg md:text-xl italic text-foreground mb-4",children:`"Morvo didn't just help our customers find products, it showed us what they were actually looking for. The buyer and product insights gave us a level of understanding we've never had before. It's changed how
1we think about merchandising."`}),e.jsx("footer",{className:"text-sm text-muted-foreground font-medium",children:"Head of Ecommerce, Sugar Riot"})]})})}),e.jsx("section",{className:"py-8 md:py-10",children:e.jsxs("div",{className:"container mx-auto px-4 max-w-4xl",children:[e.jsx("h2",{className:"text-[1.5rem] xl:text-[2.25rem] font-heading font-bold mb-8",children:"The Impact"}),e.jsx("h3",{className:"text-xl md:text-2xl font-heading font-bold mb-4",children:"Revenue impact"}),e.jsx("div",{className:"grid grid-cols-1 sm:grid-cols-3 gap-4",children:o.filter(s=>s.label!=="ROI").map(({icon:s,stat:t,label:a})=>e.jsxs("div",{className:"bg-gradient-primary rounded-xl p-5 text-center shadow-glow",children:[e.jsx(s,{className:"h-6 w-6 text-white/80 mx-auto mb-2"}),e.jsx("p",{className:"text-3xl md:text-4xl font-heading font-bold text-white mb-1",children:t}),e.jsx("p",{className:"text-white/80 text-xs font-medium",children:a})]},a))}),e.jsx("p",{className:"text-muted-foreground text-sm mt-4",children:"Within the first 90 days, alongside a 15% lift in revenue per session. Every figure is attributed to Morvo-driven interactions and tracked in Morvo's built-in analytics dashboard."}),e.jsx("h3",{className:"text-xl md:text-2xl font-heading font-bold mt-10 mb-4",children:"User experience impact"}),e.jsx("div",{className:"rounded-xl border border-primary/20 bg-primary/5 p-6 md:p-8",children:e.jsxs("div",{className:"flex flex-col sm:flex-row items-start gap-4",children:[e.jsx("div",{className:"bg-gradient-primary rounded-xl p-3 flex-shrink-0 shadow-glow",children:e.jsx(b,{className:"h-6 w-6 text-white"})}),e.jsxs("div",{children:[e.jsx("h4",{className:"text-lg md:text-xl font-heading font-bold mb-2",children:"Shopper questions became better merchandising"}),e.jsx("p",{className:"text-muted-foreground mb-5",children:"For the first time, Sugar Riot could see how customers describe products in their own words. Morvo's analytics surfaced demand patterns that traditional search and analytics never captured, and those insights fed straight back into merchandising and inventory decisions."}),e.jsx("div",{className:"grid grid-cols-1 sm:grid-cols-3 gap-3",children:[{step:"Shoppers asked",detail:"Customers described what they wanted in natural language, not keywords"},{step:"Analytics surfaced it",detail:"Real demand patterns and catalogue gaps, invisible to site search"},{step:"Sugar Riot acted",detail:"Underexposed products promoted, merchandising and buying informed by real intent"}].map(({step:s,detail:t})=>e.jsxs("div",{className:"rounded-lg bg-background border border-border/60 p-4",children:[e.jsx("p",{className:"text-xs uppercase tracking-wider text-primary font-semibold mb-1",children:s}),e.jsx("p",{className:"text-sm text-foreground",children:t})]},s))})]})]})})]})}),e.jsx("section",{className:"py-6",children:e.jsx("div",{className:"container mx-auto px-4 max-w-3xl",children:e.jsxs(r,{to:"/fashion",className:"inline-flex items-center gap-2 text-sm font-semibold text-primary hover:underline",children:["See what Morvo does on a fashion store ",e.jsx(h,{className:"h-4 w-4"})]})})}),e.jsx("section",{className:"py-0",children:e.jsx(u,{})}),e.jsx(p,{})]});export{N as default};
Line numbers count LF bytes from the start of the resource, as the search results do. Vendor segments are library code the classifier recognised; they are stored but not indexed. Bytes are shown as Latin1 characters, one per byte.