| 題名: | 企業運用資訊科技提升營運績效之深度探討:以傳統個案「昭日咖啡」與新創「YC HUB」為例 |
| 其他題名: | From Intuition to Intelligence: Designing a Cloud POS System with AI Analytics for the Pet Café Industry — A Comparative Case Study of Zhaori Coffee and YC HUB |
| 作者: | 李億晨 李靜姵 黃文心 |
| 關鍵字: | POS 系統 AI 營運分析 商品 ABC 分析 價值導向定價 數位口碑管理 麥肯錫 7S 模型 POS System AI Operational Analytics ABC Cross-Analysis McKinsey 7S Model Marketing 7Ps |
| 系所/單位: | 企業管理學系, 商學院 |
| 摘要: | 中文摘要
本專題報告探討產值 5,000 億美元的寵物經濟,以傳統店家「昭日咖啡」 為比較個案,點出傳統寵物餐飲業常面臨營運數據滯後、現場動線混亂及缺乏 數位口碑等管理痛點。為此,我們團隊模擬創立新創品牌「YC HUB」,自主研 發具備空間感知與 AI 營運分析的雲端 POS 系統,希望透過科技取代直覺式管 理,增強企業營運績效與競爭優勢。 系統建置過程中,我們以 iOS 為前端,搭配 Railway 雲端與 PostgreSQL 資 料庫,打造即時掌控帳務與庫存的神經中樞。系統上線後,我們透過雙月報表 進行深度的商品 ABC 交叉分析,發現極端的營運現況:像是「午睡美式」毛利 率高達 82% 卻缺乏鎖客機制,而店內靈魂商品「最愛肉泥」銷量極高但毛利 僅有致命的 13.5%,同時還有嚴重卡住廚房產能的低效熱食。 此外,後台數據更揭露了 NPS 滿意度問卷回收率僅有 1.5% 的數位口碑危 機。針對這些真實的系統數據,我們將進階 SWOT、行銷 7P 與麥肯錫 7S 等 商管模型化為具體的落地決策。在對外行銷上,我們捨棄傳統的價格戰,改用 價值導向定價與系統防呆機制,例如在會員 App 推出 10 杯 960 元的數位寄杯 來鎖定現金流;同時在 POS 系統後台設定肉泥禁止單點,強制顧客搭售飲品以 確保單筆客單價的綜合毛利。為拯救低迷的滿意度,系統會在顧客離店一小時 後自動推播贈送 5 點購物金,以微小成本換取大量的五星評價。 對內營運方面,我們下架低效熱食,導入廚房 KDS 延時預警,並將自助 點餐解放的外場勞動力,轉型為專業的異寵互動引導員。我們將企業文化定調 為「科技負責精準,人類回歸溫度」,讓系統防呆去抓錯,主管與員工則專注於 提升服務溫度與實踐動物福利。總結這次的模擬與開發經驗,我們對昭日咖啡 及傳統寵物餐飲業者提出幾項實質建議。首先是必須戒除憑直覺備料的習慣, 應透過數據勇敢淘汰備料繁瑣且卡住產能的低效品項,將工時聚焦在核心高毛 利商品上。 其次,面對高耗損的互動零食,不應單純漲價引發反彈,而該建立系統強 制搭售的邏輯來挽救毛利。最後,面對日益嚴格的法規,業界應積極將動物出 勤與福利紀錄數位化與透明化。 Abstract This project explores the $500 billion pet economy by comparing a traditional pet cafe, "Zhaori Coffee," with our simulated startup, "YC HUB." Traditional operators often suffer from lagging data, chaotic service flows, and weak digital reputation. To resolve this, we developed a cloud-based POS system (using iOS, Railway, and PostgreSQL) featuring spatial awareness and AI-driven analysis to replace intuitive management with precise technology. Initial system data revealed critical operational imbalances through ABC cross- analysis. For example, high-margin flagship drinks like the "Nap Americano" lacked customer retention mechanisms, while the highly popular "Beloved Pet Puree" yielded a fatal 13.5% margin despite massive sales volumes. Furthermore, inefficient hot foods severely bottlenecked kitchen capacity, and the NPS response rate was merely 1.5%.Applying advanced frameworks like SWOT, the 7Ps of Marketing, and the McKinsey 7S, we implemented data-driven solutions. Externally, we abandoned traditional price wars in favor of value-based pricing. We introduced digital prepaid coffee plans (e.g., 10 cups for $960) within our member App to secure steady cash flow, and mandated drink-treat bundling in the POS to salvage transaction margins. To revive our online reputation, automated post-visit reward pushes offering 5 shopping credits were deployed, exchanging minimal costs for five-star reviews. Internally, we discontinued inefficient hot foods, integrated Kitchen Display System (KDS) alerts, and transitioned freed-up staff into professional exotic pet interaction guides. Guided by the philosophy, "Technology ensures precision, humanity restores warmth," the system handles error-prevention while staff focuses on service quality and animal welfare.Ultimately, we advise traditional pet caterers to abandon guesswork inventory, utilize data to bravely eliminate low-efficiency items that require tedious prep, focusing labor on core high-margin products. Furthermore, implement system- enforced bundling for high-wastage treats instead of risking price hikes, and actively digitize animal attendance and welfare records to meet stricter industry regulations. |
| 學年度: | 114學年度第2學期 |
| 開課老師: | 陳, 建文 |
| 課程名稱: | 管理資訊系統 |
| 系所: | 企業管理學系, 商學院 |
| 分類: | 商114學年度 |
文件中的檔案:
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|---|---|---|---|
| 1142-014.pdf | 2.23 MB | Adobe PDF | 檢視/開啟 |
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