{"id":17183,"date":"2025-05-05T10:16:13","date_gmt":"2025-05-05T03:16:13","guid":{"rendered":"https:\/\/base.vn\/blog\/?p=17183"},"modified":"2025-11-20T15:01:15","modified_gmt":"2025-11-20T08:01:15","slug":"ai-trong-san-xuat","status":"publish","type":"post","link":"https:\/\/base.vn\/blog\/ai-trong-san-xuat\/","title":{"rendered":"AI trong s\u1ea3n xu\u1ea5t l\u00e0 g\u00ec? T\u1eeb \u1ee9ng d\u1ee5ng, v\u00ed d\u1ee5, \u0111\u1ebfn c\u00e1c b\u01b0\u1edbc tri\u1ec3n khai"},"content":{"rendered":"\n

Tr\u00ed tu\u1ec7 nh\u00e2n t\u1ea1o (AI) \u0111ang m\u1edf ra m\u1ed9t k\u1ef7 nguy\u00ean m\u1edbi cho ng\u00e0nh c\u00f4ng nghi\u1ec7p s\u1ea3n xu\u1ea5t. Kh\u00f4ng \u0111\u01a1n thu\u1ea7n l\u00e0 t\u1ef1 \u0111\u1ed9ng h\u00f3a quy tr\u00ecnh, c\u00f4ng ngh\u1ec7 n\u00e0y c\u00f2n mang l\u1ea1i nh\u1eefng gi\u00e1 tr\u1ecb r\u00f5 r\u1ec7t v\u1ec1 ch\u1ea5t l\u01b0\u1ee3ng, hi\u1ec7u su\u1ea5t v\u00e0 chi ph\u00ed v\u1eadn h\u00e0nh. \u0110i\u1ec3n h\u00ecnh nh\u01b0 BMW \u0111\u00e3 ti\u1ebft ki\u1ec7m \u0111\u01b0\u1ee3c 1 tri\u1ec7u USD m\u1ed7i n\u0103m<\/a> nh\u1edd tri\u1ec3n khai robot \u0111\u01b0\u1ee3c \u0111i\u1ec1u khi\u1ec3n b\u1edfi AI, trong khi PepsiCo t\u0103ng th\u00eam 4.000 gi\u1edd c\u00f4ng su\u1ea5t s\u1ea3n xu\u1ea5t m\u1ed7i n\u0103m<\/a> th\u00f4ng qua h\u1ec7 th\u1ed1ng b\u1ea3o tr\u00ec d\u1ef1 \u0111o\u00e1n \u1ee9ng d\u1ee5ng AI.<\/p>\n\n\n\n

V\u1eady, c\u1ee5 th\u1ec3 h\u01a1n th\u00ec AI trong s\u1ea3n xu\u1ea5t l\u00e0 g\u00ec?<\/strong> N\u00f3 \u0111\u01b0\u1ee3c \u1ee9ng d\u1ee5ng v\u00e0o nh\u1eefng kh\u00eda c\u1ea1nh n\u00e0o? V\u00e0 \u0111\u1ec3 tri\u1ec3n khai AI th\u00ec c\u00e1c nh\u00e0 s\u1ea3n xu\u1ea5t n\u00ean b\u1eaft \u0111\u1ea7u t\u1eeb \u0111\u00e2u? H\u00e3y c\u00f9ng Base.vn<\/a> t\u00ecm l\u1eddi gi\u1ea3i \u0111\u00e1p trong n\u1ed9i dung sau.<\/p>\n\n\n\n

1. AI trong s\u1ea3n xu\u1ea5t l\u00e0 g\u00ec?<\/strong><\/h2>\n\n\n\n

AI trong s\u1ea3n xu\u1ea5t<\/strong> l\u00e0 vi\u1ec7c \u1ee9ng d\u1ee5ng c\u00e1c c\u00f4ng ngh\u1ec7 tr\u00ed tu\u1ec7 nh\u00e2n t\u1ea1o nh\u01b0 h\u1ecdc m\u00e1y (machine learning), th\u1ecb gi\u00e1c m\u00e1y t\u00ednh (computer vision) v\u00e0 x\u1eed l\u00fd ng\u00f4n ng\u1eef t\u1ef1 nhi\u00ean (NLP) \u0111\u1ec3 n\u00e2ng cao hi\u1ec7u qu\u1ea3 ho\u1ea1t \u0111\u1ed9ng c\u1ee7a nh\u00e0 m\u00e1y. Nh\u1eefng c\u00f4ng ngh\u1ec7 n\u00e0y gi\u00fap doanh nghi\u1ec7p ph\u00e2n t\u00edch m\u1ed9t l\u01b0\u1ee3ng l\u1edbn d\u1eef li\u1ec7u thu th\u1eadp t\u1eeb c\u1ea3m bi\u1ebfn (sensor), thi\u1ebft b\u1ecb v\u00e0 d\u00e2y chuy\u1ec1n s\u1ea3n xu\u1ea5t nh\u1eb1m t\u1ed1i \u01b0u hi\u1ec7u su\u1ea5t, c\u1ea3i thi\u1ec7n ch\u1ea5t l\u01b0\u1ee3ng s\u1ea3n ph\u1ea9m, gi\u1ea3m thi\u1ec3u th\u1eddi gian d\u1eebng m\u00e1y v\u00e0 th\u00edch nghi tr\u01b0\u1edbc nh\u1eefng t\u00ecnh hu\u1ed1ng b\u1ea5t ng\u1edd.<\/p>\n\n\n\n

Thay v\u00ec ch\u1ec9 th\u1ef1c hi\u1ec7n c\u00e1c t\u00e1c v\u1ee5 c\u1ed1 \u0111\u1ecbnh nh\u01b0 c\u00e1c h\u1ec7 th\u1ed1ng t\u1ef1 \u0111\u1ed9ng h\u00f3a truy\u1ec1n th\u1ed1ng, AI c\u00f3 kh\u1ea3 n\u0103ng h\u1ecdc h\u1ecfi t\u1eeb d\u1eef li\u1ec7u, t\u1ef1 \u0111i\u1ec1u ch\u1ec9nh theo th\u1eddi gian th\u1ef1c v\u00e0 \u0111\u01b0a ra quy\u1ebft \u0111\u1ecbnh ph\u1ee9c t\u1ea1p. Ch\u1eb3ng h\u1ea1n, AI c\u00f3 th\u1ec3 ph\u00e1t hi\u1ec7n c\u00e1c m\u1eabu b\u1ea5t th\u01b0\u1eddng trong d\u1eef li\u1ec7u s\u1ea3n xu\u1ea5t \u0111\u1ec3 d\u1ef1 \u0111o\u00e1n s\u1ef1 c\u1ed1 k\u1ef9 thu\u1eadt tr\u01b0\u1edbc khi ch\u00fang x\u1ea3y ra \u2013 m\u1ed9t \u1ee9ng d\u1ee5ng \u0111\u01b0\u1ee3c g\u1ecdi l\u00e0 b\u1ea3o tr\u00ec d\u1ef1 \u0111o\u00e1n (predictive maintenance). Nh\u1edd \u0111\u00f3, doanh nghi\u1ec7p c\u00f3 th\u1ec3 gi\u1ea3m \u0111\u00e1ng k\u1ec3 c\u00e1c s\u1ef1 c\u1ed1 ngo\u00e0i \u00fd mu\u1ed1n v\u00e0 ti\u1ebft ki\u1ec7m chi ph\u00ed b\u1ea3o tr\u00ec.<\/p>\n\n\n\n

B\u00ean c\u1ea1nh \u0111\u00f3, AI c\u00f2n \u0111\u01b0\u1ee3c \u1ee9ng d\u1ee5ng r\u1ed9ng r\u00e3i trong ki\u1ec3m so\u00e1t ch\u1ea5t l\u01b0\u1ee3ng, khi c\u00e1c h\u1ec7 th\u1ed1ng th\u1ecb gi\u00e1c m\u00e1y t\u00ednh t\u1ef1 \u0111\u1ed9ng qu\u00e9t v\u00e0 ph\u00e2n t\u00edch s\u1ea3n ph\u1ea9m trong th\u1eddi gian th\u1ef1c \u0111\u1ec3 ph\u00e1t hi\u1ec7n l\u1ed7i, gi\u00fap \u0111\u1ea3m b\u1ea3o \u0111\u1ea7u ra \u0111\u1ed3ng \u0111\u1ec1u v\u00e0 \u0111\u1ea1t ti\u00eau chu\u1ea9n.<\/p>\n\n\n

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\"AI<\/figure><\/div>\n\n\n

\u0110\u1ecdc th\u00eam:<\/strong> C\u00f4ng ngh\u1ec7 AI l\u00e0 g\u00ec? \u1ee8ng d\u1ee5ng tr\u00ed tu\u1ec7 nh\u00e2n t\u1ea1o AI trong doanh nghi\u1ec7p<\/a><\/p>\n\n\n\n

2. \u1ee8ng d\u1ee5ng c\u1ee7a AI trong s\u1ea3n xu\u1ea5t v\u00e0 v\u00ed d\u1ee5 th\u1ef1c t\u1ebf<\/strong><\/h2>\n\n\n\n

Vi\u1ec7c t\u00edch h\u1ee3p AI v\u00e0o s\u1ea3n xu\u1ea5t<\/a> \u0111ang th\u00fac \u0111\u1ea9y ng\u00e0nh c\u00f4ng nghi\u1ec7p h\u01b0\u1edbng t\u1edbi nh\u1eefng ti\u1ebfn b\u1ed9 v\u00e0 hi\u1ec7u qu\u1ea3 ch\u01b0a t\u1eebng c\u00f3. D\u01b0\u1edbi \u0111\u00e2y l\u00e0 c\u00e1c \u1ee9ng d\u1ee5ng n\u1ed5i b\u1eadt c\u1ee7a tr\u00ed tu\u1ec7 nh\u00e2n t\u1ea1o trong t\u1eebng giai \u0111o\u1ea1n s\u1ea3n xu\u1ea5t: t\u1eeb ho\u1ea1ch \u0111\u1ecbnh chi\u1ebfn l\u01b0\u1ee3c, b\u1ea3o tr\u00ec \u0111\u1ebfn ki\u1ec3m duy\u1ec7t ch\u1ea5t l\u01b0\u1ee3ng s\u1ea3n ph\u1ea9m.<\/p>\n\n\n\n

2.1 B\u1ea3o tr\u00ec d\u1ef1 \u0111o\u00e1n (Predictive Maintenance)<\/strong><\/h3>\n\n\n\n

AI trong s\u1ea3n xu\u1ea5t gi\u00fap doanh nghi\u1ec7p ch\u1ee7 \u0111\u1ed9ng gi\u00e1m s\u00e1t t\u00ecnh tr\u1ea1ng thi\u1ebft b\u1ecb v\u00e0 d\u1ef1 \u0111o\u00e1n s\u1ef1 c\u1ed1 ti\u1ec1m \u1ea9n, nh\u1edd v\u00e0o c\u00e1c thu\u1eadt to\u00e1n h\u1ecdc m\u00e1y (ML). Thay v\u00ec ch\u1edd \u0111\u1ebfn khi thi\u1ebft b\u1ecb h\u1ecfng m\u1edbi x\u1eed l\u00fd, h\u1ec7 th\u1ed1ng s\u1ebd c\u1ea3nh b\u00e1o tr\u01b0\u1edbc, gi\u00fap gi\u1ea3m thi\u1ec3u th\u1eddi gian gi\u00e1n \u0111o\u1ea1n v\u00e0 ti\u1ebft ki\u1ec7m chi ph\u00ed b\u1ea3o tr\u00ec.<\/p>\n\n\n\n

M\u1ed9t c\u00f4ng ngh\u1ec7 quan tr\u1ecdng h\u1ed7 tr\u1ee3 b\u1ea3o tr\u00ec d\u1ef1 \u0111o\u00e1n l\u00e0 b\u1ea3n sao k\u1ef9 thu\u1eadt s\u1ed1 (Digital Twin) \u2013 m\u00f4 h\u00ecnh \u1ea3o c\u1ee7a thi\u1ebft b\u1ecb th\u1ef1c t\u1ebf, \u0111\u01b0\u1ee3c k\u1ebft n\u1ed1i v\u1edbi d\u1eef li\u1ec7u c\u1ea3m bi\u1ebfn theo th\u1eddi gian th\u1ef1c. AI ph\u00e2n t\u00edch c\u00e1c d\u1eef li\u1ec7u n\u00e0y \u0111\u1ec3 m\u00f4 ph\u1ecfng ho\u1ea1t \u0111\u1ed9ng, ph\u00e1t hi\u1ec7n b\u1ea5t th\u01b0\u1eddng v\u00e0 \u0111\u01b0a ra c\u1ea3nh b\u00e1o tr\u01b0\u1edbc khi s\u1ef1 c\u1ed1 x\u1ea3y ra.<\/p>\n\n\n\n

V\u00ed d\u1ee5 th\u1ef1c t\u1ebf:<\/strong><\/p>\n\n\n\n

V\u1edbi m\u1ed7i d\u00f2ng xe \u0111\u01b0\u1ee3c s\u1ea3n xu\u1ea5t, Ford Motor t\u1ea1o ra c\u00e1c m\u00f4 h\u00ecnh \u1ea3o m\u00f4 ph\u1ecfng t\u1eebng giai \u0111o\u1ea1n trong quy tr\u00ecnh s\u1ea3n xu\u1ea5t \u2013 t\u1eeb thi\u1ebft k\u1ebf, l\u1eafp r\u00e1p, \u0111\u1ebfn v\u1eadn h\u00e0nh th\u1ef1c t\u1ebf. C\u00e1c m\u00f4 h\u00ecnh n\u00e0y \u0111\u01b0\u1ee3c k\u1ebft n\u1ed1i v\u1edbi d\u1eef li\u1ec7u c\u1ea3m bi\u1ebfn t\u1eeb m\u00e1y m\u00f3c trong nh\u00e0 m\u00e1y, cho ph\u00e9p AI ph\u00e2n t\u00edch v\u00e0 theo d\u00f5i t\u00ecnh tr\u1ea1ng thi\u1ebft b\u1ecb theo th\u1eddi gian th\u1ef1c. Khi c\u00f3 d\u1ea5u hi\u1ec7u b\u1ea5t th\u01b0\u1eddng (ch\u1eb3ng h\u1ea1n nh\u01b0 rung \u0111\u1ed9ng b\u1ea5t th\u01b0\u1eddng, t\u0103ng nhi\u1ec7t \u0111\u1ed9…), h\u1ec7 th\u1ed1ng c\u00f3 th\u1ec3 c\u1ea3nh b\u00e1o s\u1edbm v\u1ec1 nguy c\u01a1 h\u1ecfng h\u00f3c, t\u1eeb \u0111\u00f3 gi\u00fap k\u1ef9 thu\u1eadt vi\u00ean l\u00ean l\u1ecbch b\u1ea3o tr\u00ec k\u1ecbp th\u1eddi tr\u01b0\u1edbc khi s\u1ef1 c\u1ed1 x\u1ea3y ra.<\/p>\n\n\n\n

Kh\u00f4ng ch\u1ec9 v\u1eady, b\u1ea3n sao k\u1ef9 thu\u1eadt s\u1ed1 c\u00f2n gi\u00fap Ford x\u00e1c \u0111\u1ecbnh nh\u1eefng \u0111i\u1ec3m th\u1ea5t tho\u00e1t n\u0103ng l\u01b0\u1ee3ng trong qu\u00e1 tr\u00ecnh v\u1eadn h\u00e0nh, t\u1eeb \u0111\u00f3 t\u1ed1i \u01b0u h\u00f3a ti\u00eau th\u1ee5 \u0111i\u1ec7n v\u00e0 c\u1ea3i thi\u1ec7n hi\u1ec7u su\u1ea5t t\u1ed5ng th\u1ec3 c\u1ee7a d\u00e2y chuy\u1ec1n s\u1ea3n xu\u1ea5t.<\/p>\n\n\n\n

2.2 Cobots \u2013 Robot c\u1ed9ng t\u00e1c t\u0103ng hi\u1ec7u su\u1ea5t v\u1eadn h\u00e0nh<\/strong><\/h3>\n\n\n\n

Cobots (Collaborative Robots) hay Robot c\u1ed9ng t\u00e1c, l\u00e0 nh\u1eefng robot \u0111\u01b0\u1ee3c trang b\u1ecb c\u00f4ng ngh\u1ec7 AI, c\u00f3 kh\u1ea3 n\u0103ng l\u00e0m vi\u1ec7c song song v\u1edbi con ng\u01b0\u1eddi trong m\u00f4i tr\u01b0\u1eddng s\u1ea3n xu\u1ea5t. Kh\u00e1c v\u1edbi robot truy\u1ec1n th\u1ed1ng th\u01b0\u1eddng ho\u1ea1t \u0111\u1ed9ng \u0111\u1ed9c l\u1eadp trong khu v\u1ef1c c\u00e1ch ly, cobots linh ho\u1ea1t h\u01a1n \u2013 ch\u00fang c\u00f3 th\u1ec3 nh\u1eadn bi\u1ebft m\u00f4i tr\u01b0\u1eddng xung quanh, x\u00e1c \u0111\u1ecbnh v\u1eadt th\u1ec3, di chuy\u1ec3n trong kh\u00f4ng gian ph\u1ee9c t\u1ea1p v\u00e0 x\u1eed l\u00fd c\u00e1c t\u00e1c v\u1ee5 l\u1eb7p \u0111i l\u1eb7p l\u1ea1i v\u1edbi \u0111\u1ed9 ch\u00ednh x\u00e1c cao.<\/p>\n\n\n\n

Cobots th\u01b0\u1eddng \u0111\u01b0\u1ee3c tri\u1ec3n khai t\u1ea1i c\u00e1c trung t\u00e2m ho\u00e0n thi\u1ec7n \u0111\u01a1n h\u00e0ng, n\u01a1i ch\u00fang h\u1ed7 tr\u1ee3 qu\u00e1 tr\u00ecnh l\u1ea5y h\u00e0ng, \u0111\u00f3ng g\u00f3i, ki\u1ec3m tra ch\u1ea5t l\u01b0\u1ee3ng ho\u1eb7c l\u1eafp r\u00e1p.<\/p>\n\n\n\n

V\u00ed d\u1ee5 th\u1ef1c t\u1ebf:<\/strong><\/p>\n\n\n\n

T\u1ea1i Amazon, h\u1ec7 th\u1ed1ng cobots t\u00edch h\u1ee3p h\u1ecdc m\u00e1y (ML) \u0111\u01b0\u1ee3c s\u1eed d\u1ee5ng trong c\u00e1c quy tr\u00ecnh l\u1eafp r\u00e1p v\u00e0 ki\u1ec3m \u0111\u1ecbnh h\u00e0ng h\u00f3a. Nh\u1eefng cobot n\u00e0y gi\u00fap t\u0103ng t\u1ed1c \u0111\u1ed9 x\u1eed l\u00fd \u0111\u01a1n h\u00e0ng, \u0111\u1ea3m b\u1ea3o \u0111\u1ed9 ch\u00ednh x\u00e1c v\u00e0 t\u1ed1i \u01b0u h\u00f3a ho\u1ea1t \u0111\u1ed9ng h\u1eadu c\u1ea7n, t\u1eeb \u0111\u00f3 n\u00e2ng cao hi\u1ec7u qu\u1ea3 t\u1ed5ng th\u1ec3 c\u1ee7a chu\u1ed7i cung \u1ee9ng.<\/p>\n\n\n

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\"Cobots-Robot\"<\/figure><\/div>\n\n\n

2.3 Ki\u1ec3m so\u00e1t ch\u1ea5t l\u01b0\u1ee3ng s\u1ea3n ph\u1ea9m<\/strong><\/h3>\n\n\n\n

AI c\u0169ng mang \u0111\u1ebfn m\u1ed9t b\u01b0\u1edbc ti\u1ebfn m\u1edbi trong ho\u1ea1t \u0111\u1ed9ng ki\u1ec3m so\u00e1t ch\u1ea5t l\u01b0\u1ee3ng s\u1ea3n ph\u1ea9m. Nh\u1edd c\u00e1c thu\u1eadt to\u00e1n th\u1ecb gi\u00e1c m\u00e1y t\u00ednh, nh\u00e0 s\u1ea3n xu\u1ea5t c\u00f3 th\u1ec3 ph\u00e2n t\u00edch h\u00ecnh \u1ea3nh ho\u1eb7c video c\u1ee7a s\u1ea3n ph\u1ea9m \u0111\u1ec3 ph\u00e1t hi\u1ec7n ch\u00ednh x\u00e1c c\u00e1c khuy\u1ebft \u0111i\u1ec3m, \u0111i\u1ec3m b\u1ea5t th\u01b0\u1eddng ho\u1eb7c sai l\u1ec7ch so v\u1edbi ti\u00eau chu\u1ea9n \u2013 nh\u1eefng l\u1ed7i m\u00e0 con ng\u01b0\u1eddi kh\u00f3 ph\u00e1t hi\u1ec7n b\u1eb1ng m\u1eaft th\u01b0\u1eddng. \u0110i\u1ec1u n\u00e0y gi\u00fap \u0111\u1ea3m b\u1ea3o s\u1ea3n ph\u1ea9m khi xu\u1ea5t x\u01b0\u1edfng \u0111\u1ea1t ch\u1ea5t l\u01b0\u1ee3ng cao v\u00e0 \u0111\u1ed3ng \u0111\u1ec1u.<\/p>\n\n\n\n

V\u00ed d\u1ee5 th\u1ef1c t\u1ebf:<\/strong><\/p>\n\n\n\n

Foxconn, t\u1eadp \u0111o\u00e0n s\u1ea3n xu\u1ea5t thi\u1ebft b\u1ecb \u0111i\u1ec7n t\u1eed h\u00e0ng \u0111\u1ea7u th\u1ebf gi\u1edbi, \u0111\u00e3 \u1ee9ng d\u1ee5ng AI k\u1ebft h\u1ee3p th\u1ecb gi\u00e1c m\u00e1y t\u00ednh \u0111\u1ec3 n\u00e2ng cao hi\u1ec7u qu\u1ea3 ki\u1ec3m so\u00e1t ch\u1ea5t l\u01b0\u1ee3ng linh ki\u1ec7n tr\u00ean quy m\u00f4 l\u1edbn. C\u00e1c thu\u1eadt to\u00e1n n\u00e0y kh\u00f4ng ch\u1ec9 gi\u00fap ph\u00e1t hi\u1ec7n l\u1ed7i nhanh ch\u00f3ng m\u00e0 c\u00f2n ph\u00e2n t\u00edch d\u1eef li\u1ec7u c\u1ea3m bi\u1ebfn v\u00e0 d\u1eef li\u1ec7u l\u1ecbch s\u1eed \u0111\u1ec3 nh\u1eadn di\u1ec7n c\u00e1c xu h\u01b0\u1edbng c\u00f3 th\u1ec3 d\u1eabn \u0111\u1ebfn l\u1ed7i s\u1ea3n ph\u1ea9m. Nh\u1edd \u0111\u00f3, Foxconn c\u00f3 th\u1ec3 ch\u1ee7 \u0111\u1ed9ng x\u1eed l\u00fd s\u1ef1 c\u1ed1 tr\u01b0\u1edbc khi ch\u00fang \u1ea3nh h\u01b0\u1edfng \u0111\u1ebfn ch\u1ea5t l\u01b0\u1ee3ng \u0111\u1ea7u ra, gi\u00fap t\u1ed1i \u01b0u hi\u1ec7u su\u1ea5t v\u00e0 gi\u1ea3m thi\u1ec3u chi ph\u00ed li\u00ean quan \u0111\u1ebfn h\u00e0ng l\u1ed7i.<\/p>\n\n\n\n

2.4 D\u1ef1 b\u00e1o nhu c\u1ea7u th\u1ecb tr\u01b0\u1eddng<\/strong><\/h3>\n\n\n\n

\u1ee8ng d\u1ee5ng tr\u00ed tu\u1ec7 nh\u00e2n t\u1ea1o trong d\u1ef1 b\u00e1o nhu c\u1ea7u gi\u00fap doanh nghi\u1ec7p \u0111\u01b0a ra quy\u1ebft \u0111\u1ecbnh ch\u00ednh x\u00e1c h\u01a1n b\u1eb1ng c\u00e1ch ph\u00e2n t\u00edch d\u1eef li\u1ec7u b\u00e1n h\u00e0ng trong qu\u00e1 kh\u1ee9, xu h\u01b0\u1edbng th\u1ecb tr\u01b0\u1eddng v\u00e0 c\u00e1c y\u1ebfu t\u1ed1 b\u00ean ngo\u00e0i. Nh\u1edd \u0111\u00f3, doanh nghi\u1ec7p c\u00f3 th\u1ec3 nh\u1eadn di\u1ec7n s\u1edbm bi\u1ebfn \u0111\u1ed9ng nhu c\u1ea7u, \u0111i\u1ec1u ch\u1ec9nh k\u1ebf ho\u1ea1ch s\u1ea3n xu\u1ea5t ph\u00f9 h\u1ee3p, h\u1ea1n ch\u1ebf t\u00ecnh tr\u1ea1ng thi\u1ebfu h\u00e0ng ho\u1eb7c d\u01b0 th\u1eeba t\u1ed3n kho.<\/p>\n\n\n\n

V\u00ed d\u1ee5 th\u1ef1c t\u1ebf:<\/strong><\/p>\n\n\n\n

Zara, th\u01b0\u01a1ng hi\u1ec7u th\u1eddi trang nhanh n\u1ed5i ti\u1ebfng th\u1ebf gi\u1edbi, s\u1eed d\u1ee5ng AI trong vi\u1ec7c ph\u00e2n t\u00edch chuy\u00ean s\u00e2u d\u1eef li\u1ec7u t\u1eeb nhi\u1ec1u ngu\u1ed3n nh\u01b0 ph\u1ea3n h\u1ed3i kh\u00e1ch h\u00e0ng, doanh s\u1ed1 b\u00e1n h\u00e0ng, v\u00e0 k\u1ec3 c\u1ea3 xu h\u01b0\u1edbng tr\u00ean m\u1ea1ng x\u00e3 h\u1ed9i. Nh\u1edd \u0111\u00f3, h\u00e3ng c\u00f3 th\u1ec3 s\u1edbm nh\u1eadn di\u1ec7n c\u00e1c xu h\u01b0\u1edbng th\u1eddi trang \u0111ang \u0111\u01b0\u1ee3c \u01b0a chu\u1ed9ng v\u00e0 \u0111i\u1ec1u ch\u1ec9nh k\u1ebf ho\u1ea1ch s\u1ea3n xu\u1ea5t c\u0169ng nh\u01b0 ph\u00e2n ph\u1ed1i m\u1ed9t c\u00e1ch linh ho\u1ea1t. Ch\u00ednh s\u1ef1 nh\u1ea1y b\u00e9n n\u00e0y gi\u00fap Zara lu\u00f4n b\u1eaft k\u1ecbp, th\u1eadm ch\u00ed \u0111\u00f3n \u0111\u1ea7u nh\u1eefng xu h\u01b0\u1edbng th\u1eddi trang \u201chot\u201d nh\u1ea5t, t\u1eeb \u0111\u00f3 duy tr\u00ec l\u1ee3i th\u1ebf c\u1ea1nh tranh tr\u00ean th\u1ecb tr\u01b0\u1eddng.<\/p>\n\n\n\n

2.5 T\u1ed1i \u01b0u h\u00f3a chu\u1ed7i cung \u1ee9ng<\/strong><\/h3>\n\n\n\n

Trong chu\u1ed7i cung \u1ee9ng, AI \u0111\u00f3ng vai tr\u00f2 quan tr\u1ecdng nh\u1edd kh\u1ea3 n\u0103ng ph\u00e2n t\u00edch d\u1eef li\u1ec7u l\u1edbn (big data) v\u00e0 d\u1ef1 \u0111o\u00e1n ch\u00ednh x\u00e1c c\u00e1c bi\u1ebfn \u0111\u1ed9ng c\u1ee7a th\u1ecb tr\u01b0\u1eddng. C\u00e1c thu\u1eadt to\u00e1n h\u1ecdc m\u00e1y (machine learning) gi\u00fap doanh nghi\u1ec7p:<\/p>\n\n\n\n