# -*- coding: utf-8 -*- """AI智能测肤淘宝小程序产品方案 —— 深色版（内容与模板版一致，全新视觉）。 设计系统： - 画布 26.67x15in（与模板一致，沿用已验证的版式坐标） - BG 深墨蓝 0E1E29 / 卡片 162C3A / 强调 青绿 38CDB8（水润科技感） - 文字 F2F6F9 / 次级 9FB1BF / 弱化 5E7482 - 字体：标题正文 微软雅黑，大数字 Bahnschrift（Windows 自带 DIN 系） - 浅色界面截图直接置于深底，形成强对比 """ from pathlib import Path from pptx import Presentation from pptx.util import Inches, Pt from pptx.dml.color import RGBColor from pptx.enum.shapes import MSO_SHAPE from pptx.enum.text import PP_ALIGN, MSO_ANCHOR from pptx.oxml.ns import qn from lxml import etree # 路径相对仓库根，换机器无需改（截图素材在 temp/ppt_assets，属于本地临时产物，不入库） _ROOT = Path(__file__).resolve().parents[1] OUT = str(_ROOT / "智能测肤-淘宝小程序产品方案-深色版.pptx") AST = str(_ROOT / "temp" / "ppt_assets") BG = RGBColor(0x0E, 0x1E, 0x29) CARD = RGBColor(0x16, 0x2C, 0x3A) PANEL = RGBColor(0x13, 0x25, 0x33) ACC = RGBColor(0x38, 0xCD, 0xB8) TXT = RGBColor(0xF2, 0xF6, 0xF9) MUT = RGBColor(0x9F, 0xB1, 0xBF) FAINT = RGBColor(0x6E, 0x84, 0x93) LINE = RGBColor(0x27, 0x42, 0x55) NUM_F = "Bahnschrift" def set_font(run, size, bold=False, color=TXT, latin="Segoe UI", ea="微软雅黑"): f = run.font f.size = Pt(size) f.bold = bold f.color.rgb = color f.name = latin rPr = run._r.get_or_add_rPr() for tag, face in ((qn("a:latin"), latin), (qn("a:ea"), ea)): e = rPr.find(tag) if e is None: e = etree.SubElement(rPr, tag) e.set("typeface", face) def tb(slide, x, y, w, h, paras, anchor=MSO_ANCHOR.TOP): box = slide.shapes.add_textbox(Inches(x), Inches(y), Inches(w), Inches(h)) tf = box.text_frame tf.word_wrap = True tf.margin_left = tf.margin_right = tf.margin_top = tf.margin_bottom = 0 tf.vertical_anchor = anchor for i, pd in enumerate(paras): p = tf.paragraphs[0] if i == 0 else tf.add_paragraph() p.alignment = pd.get("align", PP_ALIGN.LEFT) if pd.get("sa"): p.space_after = Pt(pd["sa"]) r = p.add_run() r.text = pd["t"] set_font(r, pd.get("size", 26), pd.get("bold", False), pd.get("color", TXT), pd.get("latin", "Segoe UI")) return box def rect(slide, x, y, w, h, fill, line=None, shape=MSO_SHAPE.RECTANGLE, radius=None): sp = slide.shapes.add_shape(shape, Inches(x), Inches(y), Inches(w), Inches(h)) if radius is not None: sp.adjustments[0] = radius sp.fill.solid() sp.fill.fore_color.rgb = fill if line: sp.line.color.rgb = line sp.line.width = Pt(1) else: sp.line.fill.background() sp.shadow.inherit = False return sp def card(slide, x, y, w, h, fill=CARD, line=None): return rect(slide, x, y, w, h, fill, line, MSO_SHAPE.ROUNDED_RECTANGLE, 0.055) def glow(slide, x, y, d, hexv="38CDB8", alpha=13): """低透明度圆形光晕（XML alpha 注入）""" sp = slide.shapes.add_shape(MSO_SHAPE.OVAL, Inches(x), Inches(y), Inches(d), Inches(d)) sp.fill.solid() sp.fill.fore_color.rgb = RGBColor.from_string(hexv) sp.line.fill.background() sp.shadow.inherit = False sf = sp.fill._xPr.find(qn("a:solidFill")) clr = sf.find(qn("a:srgbClr")) a = etree.SubElement(clr, qn("a:alpha")) a.set("val", str(alpha * 1000)) return sp def circle(slide, x, y, d, label, fill=ACC, color=BG, size=26, latin=NUM_F): sp = slide.shapes.add_shape(MSO_SHAPE.OVAL, Inches(x), Inches(y), Inches(d), Inches(d)) sp.fill.solid() sp.fill.fore_color.rgb = fill sp.line.fill.background() sp.shadow.inherit = False tf = sp.text_frame tf.margin_left = tf.margin_right = tf.margin_top = tf.margin_bottom = 0 tf.vertical_anchor = MSO_ANCHOR.MIDDLE p = tf.paragraphs[0] p.alignment = PP_ALIGN.CENTER r = p.add_run() r.text = label set_font(r, size, True, color, latin) return sp def pic(slide, path, x, y, w, h): p = slide.shapes.add_picture(path, Inches(x), Inches(y), Inches(w), Inches(h)) p.line.color.rgb = LINE p.line.width = Pt(1.25) return p def header(slide, num, title): tb(slide, 0.55, 0.22, 2.2, 1.5, [dict(t=num, size=96, color=ACC, latin=NUM_F)]) tb(slide, 2.75, 0.88, 18, 0.8, [dict(t=title, size=44, bold=True)]) def build(): prs = Presentation() prs.slide_width = Inches(26.67) prs.slide_height = Inches(15) blank = prs.slide_layouts[6] def page(): s = prs.slides.add_slide(blank) rect(s, 0, 0, 26.67, 15, BG) return s # ---- P1 封面 ---- s = page() glow(s, 18.5, 8.2, 14, alpha=12) glow(s, -3.5, -3.5, 11, alpha=9) tb(s, 2.42, 4.35, 22, 0.6, [dict(t="淘宝开放平台 · 小程序产品方案（自研类型）", size=28, color=ACC)]) tb(s, 2.42, 5.25, 22.5, 1.7, [dict(t="AI 智能测肤小程序方案", size=96, bold=True)]) tb(s, 2.42, 7.9, 20, 0.9, [dict(t="西安巨子生物基因技术股份有限公司", size=44, color=MUT)]) tb(s, 2.42, 12.9, 20, 0.5, [dict(t="在线肌肤检测 · 个性化护理建议 · 精准商品推荐", size=24, color=FAINT)]) # ---- P2 公司背景与产品定位 ---- s = page() tb(s, 2.75, 0.88, 18, 0.8, [dict(t="公司背景与产品定位", size=44, bold=True)]) glow(s, 20.5, -4, 10, alpha=8) pic(s, f"{AST}\\report-full.png", 2.7, 2.45, 3.34, 10.29) tb(s, 1.4, 12.95, 6.0, 0.5, [dict(t="AI 肌肤检测报告（界面示意）", size=24, color=FAINT, align=PP_ALIGN.CENTER)]) tb(s, 7.6, 2.75, 18, 0.5, [dict(t="西安巨子生物基因技术股份有限公司 · 港交所上市 · 重组胶原蛋白", size=24, color=ACC)]) tb(s, 7.6, 4.6, 18.5, 2.1, [dict(t="让每位消费者三分钟获得", size=40, bold=True, sa=6), dict(t="一份可信赖的肌肤报告与护理方案", size=40, bold=True)]) rows = [ ("1", "测得准", "AI 图像分析输出综合评分、肌龄、七项分项与三维指标，可解释、可回看"), ("2", "推得对", "按展示肌龄分档推荐适配精华，报告页直达商品，缩短决策路径"), ("3", "留得住", "历史报告沉淀与复访提醒，支撑会员运营与复购"), ] for i, (n, lead, desc) in enumerate(rows): y = 7.5 + i * 2.0 circle(s, 7.6, y + 0.12, 0.72, n, color=BG, size=28) tb(s, 8.8, y, 15.3, 1.8, [dict(t=lead, size=30, bold=True, sa=6), dict(t=desc, size=24, color=MUT)]) # ---- P3 目录 ---- s = page() glow(s, 20, 9.5, 11, alpha=8) tb(s, 2.42, 2.6, 8, 1.3, [dict(t="目录", size=72, bold=True)]) rect(s, 8.3, 2.6, 0.028, 10.2, LINE) toc = [("01", "市场调研分析"), ("02", "小程序方案及价值"), ("03", "商业化运营规划及目标")] for i, (n, t) in enumerate(toc): y = 3.1 + i * 3.2 circle(s, 9.6, y, 1.35, n, color=BG, size=40) tb(s, 11.8, y + 0.22, 14, 0.9, [dict(t=t, size=44, bold=True)]) # ---- P4 01 市场调研分析 ---- s = page() header(s, "01", "市场调研分析") cols = [ ("商家痛点", "选品讲解靠经验，「适不适合我」难讲清；直播与详情页流量难沉淀为可复访的服务。"), ("消费者诉求", "想先弄清肤质与肌龄再决策；怕踩雷、要依据，希望报告能看懂、直接告诉我买什么。"), ] xs = [1.5, 9.72, 17.94] for i, (t, body) in enumerate(cols): card(s, xs[i] - 0.35, 2.35, 7.9, 6.6) tb(s, xs[i], 2.75, 7.2, 0.6, [dict(t=t, size=32, bold=True, color=ACC)]) tb(s, xs[i], 3.6, 7.1, 5.0, [dict(t=body, size=26, color=MUT)]) card(s, xs[2] - 0.35, 2.35, 7.9, 6.6, fill=PANEL, line=LINE) tb(s, xs[2], 2.75, 7.2, 0.6, [dict(t="市场与商业化空间", size=32, bold=True, color=ACC)]) tb(s, xs[2], 3.6, 7.2, 1.0, [dict(t="4357亿", size=54, bold=True, color=ACC, latin=NUM_F)]) tb(s, xs[2], 4.65, 7.2, 0.5, [dict(t="2024 年全国化妆品类零售额", size=22, color=MUT)]) tb(s, xs[2], 5.5, 7.2, 1.0, [dict(t="1069亿", size=54, bold=True, color=TXT, latin=NUM_F)]) tb(s, xs[2], 6.55, 7.2, 0.5, [dict(t="抗衰护肤品细分市场规模（2024）", size=22, color=MUT)]) tb(s, xs[2], 7.3, 7.1, 1.5, [dict(t="高客单、高复购；线上「可解释的决策工具」仍是缺口", size=24, color=MUT)]) tb(s, 1.5, 9.55, 10, 0.5, [dict(t="需求原声", size=24, bold=True, color=FAINT)]) rect(s, 0, 10.25, 26.67, 2.25, PANEL) for i, q in enumerate(["「不知道自己适不适合这款抗老精华」", "「想先测一下再买，别乱试」", "「报告要能看懂，最好直接告诉我买什么」"]): tb(s, 1.5 + i * 8.6, 10.25, 8.2, 2.25, [dict(t=q, size=26, bold=True)], anchor=MSO_ANCHOR.MIDDLE) tb(s, 1.5, 12.9, 24, 0.5, [dict(t="数据来源：国家统计局社会消费品零售总额（化妆品类，2024）；智研咨询《2024 年中国抗衰老行业研究》", size=22, color=FAINT)]) # ---- P5 02 方案与价值 ---- s = page() header(s, "02", "小程序方案及价值") tb(s, 1.5, 2.55, 11.5, 0.6, [dict(t="产品价值与商业价值", size=32, bold=True, color=ACC)]) vals = [ ("检测可信", "AI 图像分析替代主观猜测，输出可解释的检测报告"), ("决策提效", "报告直达适配商品，缩短「浏览—下单」路径，提升转化与客单匹配"), ("服务资产", "历史报告沉淀，支撑复访召回、换季关怀与复购运营"), ] for i, (lead, desc) in enumerate(vals): y = 3.45 + i * 1.95 rect(s, 1.5, y + 0.16, 0.26, 0.26, ACC) tb(s, 2.1, y, 10.6, 1.7, [dict(t=lead, size=30, bold=True, sa=6), dict(t=desc, size=24, color=MUT)]) tb(s, 14.2, 2.55, 11, 0.6, [dict(t="适用行业与运用场景", size=32, bold=True, color=ACC)]) for t, cx, cy in [("护肤", 14.2, 3.5), ("功效型美妆", 19.3, 3.5), ("抗老精华", 14.2, 4.55), ("品牌会员中心", 19.3, 4.55)]: sp = card(s, cx, cy, 4.7, 0.85, fill=BG, line=ACC) tf = sp.text_frame tf.margin_left = tf.margin_right = tf.margin_top = tf.margin_bottom = 0 tf.vertical_anchor = MSO_ANCHOR.MIDDLE p = tf.paragraphs[0] p.alignment = PP_ALIGN.CENTER r = p.add_run() r.text = t set_font(r, 26, False, ACC) tb(s, 14.2, 5.95, 11, 3.4, [dict(t=t, size=26, sa=14) for t in ["· 店铺首页服务入口", "· 商品详情页挂载", "· 直播间互动测肤", "· 会员日与换季活动"]]) rect(s, 0, 10.1, 26.67, 2.8, PANEL) tb(s, 1.5, 10.4, 10, 0.5, [dict(t="商业价值", size=24, bold=True, color=FAINT)]) for i, (t, d) in enumerate([("提升转化", "把不确定变成可解释的购买理由"), ("优化客单", "按肌龄匹配商品，减少试错退货"), ("沉淀会员", "报告资产驱动复访与复购")]): x = 1.5 + i * 8.6 tb(s, x, 11.1, 7.8, 1.5, [dict(t=t, size=28, bold=True, sa=6), dict(t=d, size=22, color=MUT)]) # ---- P6 02 产品核心功能与链路 ---- s = page() header(s, "02", "产品核心功能与链路") feats = [ ("01", "授权登录", "淘宝账号授权，协议确认后进入服务"), ("02", "基础档案", "出生年份、地区、肤质，一次填写本地缓存"), ("03", "三步拍摄", "正脸 / 左脸 / 右脸拍摄或相册选图"), ("04", "AI 检测报告", "综合评分、肌龄、七项分项与三维指标"), ("05", "护理与推荐", "护理关注选三，按肌龄推荐适配精华"), ("06", "历史报告", "最近多份完整报告，可回看对比"), ] for i, (n, t, d) in enumerate(feats): y = 2.35 + i * 1.12 circle(s, 1.5, y + 0.06, 0.6, n, color=BG, size=22) tb(s, 2.4, y, 9.9, 1.05, [dict(t=t, size=28, bold=True, sa=3), dict(t=d, size=22, color=MUT)]) for i, (f, cap) in enumerate([("phone-profile.png", "基础档案"), ("phone-camera.png", "正面拍摄引导"), ("phone-report.png", "AI 检测报告")]): x = 13.3 + i * 3.85 pic(s, f"{AST}\\{f}", x, 2.3, 3.3, 6.48) tb(s, x, 8.95, 3.3, 0.5, [dict(t=cap, size=24, color=MUT, align=PP_ALIGN.CENTER)]) for i, st in enumerate(["启动授权", "档案填写", "三步拍摄", "生成报告", "护理推荐", "商品转化"]): x = 2.1 + i * 3.9 circle(s, x + 1.1, 10.3, 0.8, str(i + 1), color=BG, size=24) tb(s, x, 11.3, 3.0, 0.5, [dict(t=st, size=24, bold=True, align=PP_ALIGN.CENTER)]) if i < 5: tb(s, x + 2.95, 10.42, 0.9, 0.6, [dict(t="→", size=30, bold=True, color=FAINT, align=PP_ALIGN.CENTER)]) tb(s, 1.5, 12.35, 24.5, 1.6, [dict(t="七项分析：轮廓紧致 · 皱纹细纹 · 肤色色素 · 平滑细腻 · 水分水润 · 敏感泛红 · 痘痘皮损", size=22, color=MUT, sa=6), dict(t="三维指标：紧塑力 / 活力感 / 稳定力，支撑综合评分与展示肌龄", size=22, color=MUT, sa=6), dict(t="推荐逻辑：按展示肌龄分档匹配精华组别，报告页可跳转商品详情", size=22, color=MUT)]) # ---- P7 02 差异与互补 ---- s = page() header(s, "02", "与平台现有能力的差异与互补") for t, x, w in [("对比维度", 1.4, 4.6), ("平台现有货架与内容", 6.2, 9.8), ("本小程序互补价值", 16.2, 9.8)]: tb(s, x, 2.7, w, 0.6, [dict(t=t, size=28, bold=True, color=ACC)]) for i, (lab, a, b) in enumerate([ ("决策依据", "以图文、评价与直播讲解为主", "基于本人面部数据生成可解释报告"), ("选品方式", "用户自行对比商品与参数", "按肌龄与肤质状态主动匹配商品"), ("服务形态", "偏一次性浏览与成交", "报告沉淀可回看，支撑复访复购"), ("商家价值", "流量与成交工具丰富", "新增「专业测肤」信任入口，提升转化")]): y = 3.85 + i * 2.1 tb(s, 1.4, y + 0.55, 4.6, 0.7, [dict(t=lab, size=28, bold=True)]) card(s, 6.2, y, 9.8, 1.9) tb(s, 6.65, y + 0.35, 8.9, 1.3, [dict(t=a, size=26, color=MUT)], anchor=MSO_ANCHOR.MIDDLE) card(s, 16.2, y, 9.8, 1.9, fill=PANEL, line=ACC) tb(s, 16.65, y + 0.35, 8.9, 1.3, [dict(t=b, size=26)], anchor=MSO_ANCHOR.MIDDLE) tb(s, 1.4, 12.65, 24, 0.8, [dict(t="「不做货架的替代，补足『专业解释 → 信任 → 决策』的服务缺口」", size=30, bold=True, color=ACC)]) # ---- P8 03 商业化运营规划及目标 ---- s = page() header(s, "03", "商业化运营规划及目标") tb(s, 2.75, 1.78, 14, 0.5, [dict(t="自研类型申请 · 西安巨子生物 · 首期服务自有旗舰店", size=22, color=FAINT)]) tb(s, 1.5, 2.6, 10, 0.6, [dict(t="目标覆盖", size=32, bold=True, color=ACC)]) for i, (t, d) in enumerate([("首期（0–6 个月）", "服务自有淘宝旗舰店与核心精华线，验证「测肤—推荐—购买」闭环"), ("扩展（6 个月以上）", "复制至品牌矩阵店铺，沉淀为会员中心的标准服务能力")]): x = 1.5 + i * 12.22 card(s, x, 3.4, 11.45, 1.85) tb(s, x + 0.45, 3.7, 10.6, 1.35, [dict(t=t, size=28, bold=True, sa=5), dict(t=d, size=24, color=MUT)]) tb(s, 1.5, 5.65, 10, 0.6, [dict(t="上线后的运营节奏", size=32, bold=True, color=ACC)]) for i, (t, d) in enumerate([("上线期（0–1 月）", "店铺首页与详情页入口曝光；引导完成首测；紧盯拍摄成功率与报告完成率。"), ("成长期（1–3 月）", "大促与直播挂载测肤互动；会员专属复测提醒；持续优化推荐与话术转化。"), ("沉淀期（3 月以上）", "历史报告召回与换季护理活动；A/B 优化推荐规则；提升复测率与连带购买。")]): x = 1.5 + i * 8.13 card(s, x, 6.45, 7.4, 3.2) tb(s, x + 0.45, 6.8, 6.5, 2.5, [dict(t=t, size=28, bold=True, sa=8), dict(t=d, size=24, color=MUT)]) tb(s, 1.5, 10.1, 10, 0.6, [dict(t="关键指标", size=32, bold=True, color=ACC)]) for i, (t, d) in enumerate([("体验", "拍摄完成率 · 报告完成率 · 报告回访时长"), ("转化", "推荐点击率 · 详情跳转率 · 测肤后下单转化"), ("运营", "复测率 · 连带购买 · 会员渗透"), ("合规", "数据按账号隔离 · 权限按需申请 · 不作医疗诊断承诺")]): x = 1.5 + i * 5.99 card(s, x, 10.9, 5.71, 2.35) tb(s, x + 0.4, 11.2, 4.95, 1.8, [dict(t=t, size=28, bold=True, sa=6), dict(t=d, size=22, color=MUT)]) # ---- P9 致谢 ---- s = page() glow(s, 19, 8.5, 13, alpha=11) glow(s, -3, -3, 10, alpha=8) tb(s, 4.85, 5.6, 18, 1.6, [dict(t="THANK YOU", size=96, bold=True)]) tb(s, 4.9, 8.35, 16, 0.6, [dict(t="西安巨子生物基因技术股份有限公司", size=30)]) tb(s, 4.9, 9.25, 16, 0.5, [dict(t="AI 智能测肤 · 淘宝小程序产品方案", size=24, color=MUT)]) prs.save(OUT) print("saved:", OUT, "slides:", len(prs.slides)) if __name__ == "__main__": build()