Assortment hpe grau kaja hkra galaw ai ngu ai gaw hpa rai ta?

Assortment hpe grau kaja hkra galaw ai gaw ndai gap hkat ai lam hpe hparan ya ai hpaji masa rai nga ai. Dai gaw, ginjaw garan rung dawdan ai lam hpe, customers ni shelf - ntsa hta teng sha mu tam ai lam ni hpe, data, matut manoi sharin hkam la ai lam, hte store-madang galaw ai lam ni hku nna matut mahkai ya ai. Ndai laika buk hta hpa re ai, ladat law malawng hpa majaw hkrat sum ai, gara hku galaw sa wa na, mahtai hpe gara hku shadawn na ngu ai lam ni hpe tsun dan da ai.

Assortment hpe grau kaja hkra galaw ai hte Assortment hpe masing jahkrat ai: Hpa shai hkat ai kun?

Ndai ga si lahkawng hpe shada da galai shai nna lang chye ma ai. Shanhte gaw npawt nhpang hku nna n bung ai ladat ni hpe tsun dan ma ai.

Planning gaw na a assortment gara hku rai ra na hpe tsun dan ai. Optimization gaw - hpe teng sha galaw lu hkra galaw ya nna, masa lam ni galai shai wa ai hte maren matut nna gram lajang ya ai.

Assortment dawdan ai lam galaw nna sum mat ai Layers Masum

Retailer law malawng gaw shawng na layer hta gumhpraw law law bang ma ai. Kaga lahkawng hta kaba dik ai hkrang shapraw ai lam n bung ai lam ni nga ai.

Ladat Layer: Hpa hpe dut na

Ndai shara hta category-madang dawdan lam ni byin pru wa ai: gara arung arai ni gaw shelf shara lu ai, private label gaw mungdan a brand ni hpe gara hku shingdaw ai, hte category langai hte langai gaw store masing ting hta gara lit hpe gun hpai ai. Ndai shara hta dawdan ai lam ni hpe ginjaw garan rung kaw galaw ai, gat lawk jahpan hte shingjawng ai masat masa ni a majaw, aten galu galai shai ai lam ni a majaw galaw ai.

Hkrit tsang hpa: aggregate data gaw buga ginra shai hkat ai lam hpe makoi magap da ai. Hkap la mai ai mungdan ting dut shabra ai lam nga ai arung arai langai gaw, gat seng 40% hta n kaja ai hku galaw nna, kaga 30% hta grau kaja ai rai na re. Average ni gaw signal hpe makoi da ai.

Tactical Layer: Gara kaw, gara hku dut na

Tactical layer gaw, strategy hpe shara- hte seng ai masing ni de ga gale ya ai: gat seng ni hpe shinggyin hpawng de ai, planogram hkrang shapraw ai, hte hpaga yumga galaw ai tara ni. Ndai shara hta assortment gaw teng sha buga ginra byin wa ai - masha law ai mare kaba na gat seng langai gaw, mare makau na hkrang hta grau nna shara n law ai, lagaw lam hkawm sa ai lam, gat mari ai ni a sasana magam bungli ni hpe n bung ai.

Hkrit tsang hpa: ndai madang hta dawdan ai lam ni gaw, tengman ai store-madang masat kumla ni hta grau nna, sawn la ai lam ni hpe grai kam hpa nga ai. Assortments ni gaw laika man ntsa hta kaja ai-localized zawn rai nna, tatut hta gaw grai n tara ai hku naw nga nga ai.

Bungli galaw ai Layer: Customer de teng sha hpa du wa ai

Ndai shara kaw assortment optimization awng dang ai (sh) katsi katsang hkrat sum ai. Operational layer gaw, customers ni hkrum katut ai hkum hkrang tengman ai lam hpe madun dan ai: gara arung arai ni gaw shelf ntsa kaw nga ai kun, planogram ni hpe hkrak hkra galaw ai kun, promotion ni hpe mu lu ai kun, stockouts ni hpe rim la nna lawan ai hku hparan lu ai kun.

Store galaw ai lam de real-time mu lu ai lam n nga yang, upstream dawdan ai lam shagu gaw daw mi sha sawn la ai lam sha rai nga ai. Hpaji hparat ni zawn re aielectronic shingnip masat kumla nihte IoT sensor ni hpe grau grau jai lang wa ai gaw ndai mu lu ai gap hpe pat kau na matu - shelf states ni hpe shi hkrai shi hkam la lu ai hta grau nna n law htum byin ai manual audit ni hpe kam hpa ai hta grau nna galaw mai ai.

Hpa majaw Htunghking Assortment hpe grau kaja hkra galaw ai lam hkrat sum ai

Assortment ladat law malawng gaw laika pa ntsa hta atsawm sha-ka da ai. Ndai shara kaw shanhte tatut hta hkrat sum mat ai.

Hten za ai lam 1: Labau hte seng ai jahpan ni hpe lai wa sai aten a matu kaja dik htum galaw ya ai

Dut shabra ai labau gaw, dai aten - hta nga ai masa lam ni a npu e, lu mai ai assortment hte, masat da ai manu ni hte, customers ni hpa mari ai lam hpe tsun dan ai. Customers ni ra sharawng ai raitim n mu lu ai lam hpe tsun dan lu na n re. Fast-moving categories ni hta, labau hta byin nga ai masa langai ngai asan sha dan dawng wa ai aten hta, galaw na matu window gaw law law lang lai mat wa sai.

Hten za ai lam 2: Ginjaw kaw nna dawdan ai lam ni, buga ginra hta byin nga ai tengman ai lam

Assortment dawdan ai lam ni hpe ginjaw garan rung kaw sha galaw ai shaloi, store-madang nuance hpe average galaw kau ai. Mungdan ting dut shabra ai lam n law ai raitim, gat seng amyu myu hta n-gun ja ai arung arai langai hpe jahpan kaw na jahkrat kau mai ai. Standardized planogram hpe grai shai ai shelf dimensions hte mari ai ni a jahpan ni nga ai gat seng ni hta jai lang lu ai.

Hten za ai lam 3: Data Silos gaw n hkum tsup ai dawdan lam ni hpe shabyin ya ai

Retail uhpung ni gaw, - dut shabra ai lam, arung arai jahpan, sadi dung ai lam, e-dut mari ai lam, hte gat seng kata na sensor ni a system law law hku nna data ni hpe shapraw ya ai. Category hparan ai ni gaw data set langai kaw na bungli galaw ai. Supply chain gaw kaga langai kaw na bungli galaw ai. Store bungli ni hpe masum ngu na kaw nna galaw ai. Ndai ningmu ni hta na langai mi mung hkum tsup ai n re, gara silo kaw na mung dawdan ai lam ni gaw kaga langai mi hta sha mu lu ai manghkang ni hpe shabyin ya na re.

Hten za ai lam 4: Planogram hkan sa ai lam gaw Ginjaw Rung myit ai hta grau npu ai

Planogram gaw, hkrak hkrak, n-gun dat galaw ai rai yang she manu shadan ai lam hpe jaw ya lu ai. Retail network law malawng hta, hkan sa ai lam ni gaw gat seng shagu hta grai shai hkat ai - rai nna, ginjaw garan rung gaw shadawn ai aten du hkra n chye ai. Nang gaw dut shabra ai lam hpe madung tawn nna, arung arai langai a shelf performance hpe jep joi nga ai rai yang, dai arung arai gaw na a gat seng 20% ​​hta shata masum tup shut ai bay position kaw nga taw ai rai yang, na a performance data hpe kam mai ai lam n nga ai. Chye na aiShelf data hpe kade lang bai gram lajang aindai shadawn shadang ni a hkrak ai lam hte hkrak matut mahkai nga ai.

Hten za ai lam 5: Omnichannel masat kumla ni hpe n hti mat ai

Online customer ni a akyang lailen gaw, hkum hkrang dut mari ai ni law malawng n myit mada ai, assortment hpaji a sut su ai npawt nhpang langai rai nga ai. Na a e-commerce platform kaw Zero-hpang jahtum tam ai gaw, nang n gun ai hpe customers ni tam nga ai hpe hkrak sha madun dan ai. -browse kaba, -mari ai lam n law ai gaw, galai shai ai lam garai n galaw shi yang, -store hta jep joi ai lam galaw ra ai ra kadawn ai lam hpe madun dan ai. Online kaw na arai langai hpe tam ai, n lu ai hpe mu nna, pru mat wa ai customer langai gaw in-store system - hta data n shapraw ai raitim, dai data n nga ai gaw shi hkum nan signal langai mi rai nga ai, dai hpe rim la na matu process hpe gawgap ai rai yang. Shawng nnan gaw, online kaw na tam ai hte hkan tam ai data ni hpe, n tara ai hku pyi, na a category masing jahkrat ai bungli masa hte matut mahkai ai lam rai nga ai.

AI gaw Assortment dawdan ai lam ni hpe gara hku gram lajang ya ai

Latsa jan na gat seng ni hte wan hku law ai SKU ni hta lata hte garan ginhka ai lam hpe hparan ai lam gaw, spreadsheet hte aten kadun bai maram yu ai lam ni gaw hpa hpe madi shadaw ya lu ai ngu ai shadawn sharam de du wa sai. AI gaw, shadawn shadang lu ai ladat ni hte garum ya ai.

Store-madang ra kadawn ai lam hpe tau hkrau tsun ai.Htunghking hku tau hkrau tsun ai gaw banner (sh) cluster madang hta bungli galaw ai. Machine learning model ni gaw langai hkrai a gat seng hte SKU madang hta tau hkrau tsun shapraw lu ai, buga ginra na lam ni hpe sawn la ai - makau grup yin masha jahpan, makau na shingjawng ai lam, aten ladaw na micro-trends - ni hpe grau dam lada ai model ni gaw tsan ai de shadawn shadang tawn da ai. Ndai granularity gaw, buga ginra garan ginhka ai dawdan lam ni hpe sawn la ai hta grau nna makawp maga mai ai lam byin shangun ai.

SKU hpe n-gun jaw ai lam.Product shagu gaw shi a shara hpe n lu la ai. AI hkrang masa ni gaw gara SKU ni gaw shelf real estate hte inventory capital hpe jai lang nga ai hpe chye na lu ai, n-gun jaw ai lam, galai shai ai lam a akyu ni, basket hkra machyi ai lam ni hpe maram masam ai - n bung ai. Hkrak ai shai hkat ai lam gaw, sadi dung ai niche hpe daw jau ai slow-movers ni hte, n-gun n rawng ai hku sha galaw ai slow-movers ni a lapran rai nga ai. AI gaw lata hte sawk sagawn ai lam n lu galaw ai scale hta dai lahkawng hpe garan ginhka lu ai.

Dynamic manu jahpu hte ndau shabra ai lam hpe hkan sa ai.Assortment dawdan ai lam ni gaw manu jahpu hte garan nna n nga ai. AI-shachyut aigalai shai ai manu jahpun-gun jaw ai lam hpe aten dep hta assortment galaw ai lam hte shingdaw lu ai - gaw, masing jahkrat da ai lam hte shelf madang hta customers ni teng sha htai ya ai lam lapran n htap htuk ai lam hpe shayawm ya lu ai.

Hpyen sat ai lam hpe yu reng ai.Computer shingran hte sensor data ni gaw planogram n bung ai lam ni hpe lata hte tup hkrak jep joi ai lam n galaw ra ai sha chye na lu ai. 2019 ning hta rawt jat wa ai lam ni.shelf label hpajin-gun kaba ai dut mari ai ni a matu, n-gun kaba ai dut mari ai ni a matu, automated shelf-state hpe yu reng ai lam hpe grau grau htuk manu hkra galaw da sai.

Lahkam manga-hpe galaw sa wa na matu

Retailer law malawng gaw assortment hpe grau kaja hkra galaw ai lam hpe chye ma ai. N law ai ni gaw asan sha hpang wa ai lam nga ai. Ndai framework hpe gara scale hta raitim lang mai hkra galaw da ai.

Lahkam 1: Ya aten na Assortment hpe Audit galaw u

Hpa hpe mung n kaja hkra galaw shi yang, teng man ai npawt nhpang hpe gawgap u. Ya aten hta na a stockout rate gaw category hte store hku nna kade daram rai kun? Gara SKU ni gaw square foot mi hta dut shabra ai lam a lawu na decile hpe shabyin ya nga ai kun? Lajang da ai assortment hte teng sha shelf lu ai lapran na kaba dik ai gap hkat ai lam ni gaw gara kaw rai kun? Ndai ga san ni hpe kam mai ai data hte n lu htai ai rai yang, dai gaw shi hkum nan ahkyak dik htum sawk sagawn ai lam - hte optimization tools ni hpe n bang shi yang, visibility hta gumhpraw bang na matu signal rai nga ai. A hkrang shapraw da ainpawt nhpang ROI jahpangara ladat hpe mung n galaw shi yang, grau tsaw ai-impact gap ni gara kaw nga ai hpe shadawn shadang masat ya lu ai.

Lahkam 2: Na a Store Clusters ni hpe tsun dan u

Store yawng gaw assortment langai sha n mai lang ai, raitim store shagu a matu tsep kawp laklai ai assortment gaw bungli galaw ai lam hta n mai hparan ai. Store clustering gaw ndai grai sawng ai lam ni hpe shingdaw nna, lachyum bung ai ra kadawn ai lam ni nga ai shara ni hpe garan ginhka ai hku nna shingdaw ya ai. Kaja ai hku hpawng de ai lam gaw, teng sha mari ai akyang lailen - basket n-gun, garan ginhka ai lam a lawan ai lam, mari ai wa a sasana magam bungli masa ni - ntsa hta gawgap da ai rai nna, sawn la ai masha jahpan hta n-ga. Retailer law malawng gaw, network kaba ai hte format amyu myu hta hkan nna, cluster mali kaw nna matsat du hkra hte bungli galaw ma ai. Teng man ai nambat gaw, laklai ai arung arai hkrang hpe madi shadaw ya lu hkra, hpung shagu teng sha n bung ai hku galaw ai nambat rai nga ai.

Lahkam 3: Na a Data Sources ni hpe hpawng de na

Assortment hpe grau kaja hkra galaw ai gaw, dai hpe lusha jaw ai data ni daram sha kaja ai. N law htum, SKU-madang dut shabra ai lam a jahpan hpe n yawm htum shata 12 na labau, ya aten na arung arai madang ni, hte shelf nga ai hpe shadawn shadang nkau mi nga ai store hku nna ra ai. Shelf data hpe gara hku hkam la ai - ngu ai ga san gaw, lata hte tsun shapraw ai report, ESL system, shing nrai IoT sensors - hku nna rai tim, data a n-nan ai lam hte kam hpa mai ai lam hpe hkrak hkra machyi shangun ai. Chye na ai lam .Shelf data hpe hkam la na matu matut mahkai lam lata la mai ai lam ningu ai gaw, tatut galaw mai ai aten dep dawdan ai lam re. - hpe hpaw hpang na matu hkum tsup ai data hpe shinggyin la lu na matu ra kadawn ai lam n re raitim, shi a pru wa ai lam hpe kam hpa na matu, na a data a gap hte latency hpe chye na ra ai.

Lahkam 4: Kaja dik htum galaw na matu tara ni hte makawp maga ai lam ni hpe masat da u

AI model ni hte kaja dik htum galaw ai algorithm ni hpe pat shingdang ai lam ni ra nga ai. Dawdan ai lam shagu hpe automatic hku n mai galaw ai. Gara dawdan lam ni gaw shi hkrai shi galaw lu ai - ga shadawn, high-velocity SKUs - a matu bai gram lajang ai lam ni hte shinggyim masha bai maram yu ra ai, ga shadawn, cluster kaw na product langai hpe shapraw kau ai zawn re ai lam ni hpe asan sha tsun dan u. Guardrails gaw, data n hkum tsup ai shaloi, automated system ni galaw shut ai lam ni hpe mung makawp maga ya ai. Ga shadawn langai mi: algorithm langai gaw, dut shabra ai lam n law ai majaw, arung arai langai hpe shaw kau na matu hpaji jaw ai, dai shaloi, teng man ai lam gaw, dut shabra ai lam a jahpan gaw ra kadawn ai lam n law ai hte n garan ginhka lu ai, n sim n sa stockouts ni rai nga ai.Manu hte lu mai ai lam hpe madun ai shut ai lam nigaw, automation hpe n galaw shi yang chye na na matu manu dan ai, matut mahkai ai bungli galaw ai lam hkrat sum ai lam re.

Lahkam 5: Shadawn, Sharin la, bai galaw u

Assortment hpe grau kaja hkra galaw ai gaw matut manoi galaw ai lam rai nna, kalang lang galaw ai bungli n re. Ladat dawdan ai lam ni a matu n law htum shata mali hta kalang, zai ladat galai shai ai lam ni a matu shata shagu ayan bai maram yu ai nsen hpe - gawgap na. Ginjaw garan ginhka ai hpung ni a lapran hta gram lajang da ai ningmu jaw ai lam ni hpe gawgap nna-madang na bungli galaw ai lam hpe mahkawng da na. Lajang ai lam langai hte langai hpe chyam dinglik ai lam langai zawn mu mada u: myit sawn sumru ai lam hpe galaw na, galai shai ai lam hpe galaw sa wa na, byin pru wa ai lam hpe shadawn na, dai sharin hkam la ai lam hpe hpang na aten ladaw hta jai lang na. Ndai lam kaw na manu dan dik htum hpe shaw la lu ai uhpung ni gaw, grau kungkyang ai arung arai ni lang ai uhpung ni n rai ma ai. Data kaw na tut nawng sharin la na akyang hpe gawgap da ai ni rai ma ai.

Assortment hpe grau kaja hkra shadawn na matu KPI kru

Aggregate hku sha n rai, store madang hta metrics kru yawng hpe hkan tam u. Network-level averages ni gaw manghkang ni grau sawng ai - hte grau kaba ai optimization ahkaw ahkang ni nga ai store ni hpe ayan makoi da ai.

Online hte hkum hkrang lam hku nna amyu myu hpe grau kaja hkra galaw ai

Hkum hkrang hte digital lam hku nna bungli galaw nga ai dut mari ai ni a matu, assortment dawdan ai lam ni hpe langai hkrai hku nna n mai hparan ai.Hkauna galaw ai grup yingalai shai wa sai: customers ni gaw channel lapran hta n-gun n rawng ai sha hkawm sa nga ai, channel langai hte langai kaw na data ni gaw kaga langai hta dawdan lam ni hpe chye shangun lu ai.

Online hku nna garan ginhka ai masat kumla langai hku nna.Na a e-commerce platform hta Zero-results tam ai gaw, nang n gun ai hpe shanhte ra sharawng ai lam hpe hkrak tsun dan ai assortment gap - hpe hkrak madun ai re. High-browse, low-mari ai ladat ni gaw, mari ai ni n mari shi yang, shanhte hkum nan jep joi mayu ai arung arai ni hpe madun lu ai, dai gaw in-store ranging a matu akyu nga ai. ngu ai hku nga yang.McKinsey sawk sagawn ai lam, 70% jan na htuk sha ai ni gaw ya aten hta, tinang hkrai a mahkrum madup ni hpe myit mada nga ma ai - ndai myit mada lam gaw, matut mahkai lam ni zawn, arung arai ni hpe lu la mai ai lam hta mung, hkan sa mai ai.

Unified vs. garan ginhka ai garan ginhka ai lam.Na a online hte in-store kaw na garan ginhka ai lam ni gaw, na a store format hte customer ni a akyang lailen hta madung nga ai. Unified assortment gaw bungli galaw ai lam hpe asan sha galaw ya nna, ra kadawn ai lam hpe san seng ai hku shapraw ya ai, raitim, hkum hkrang gat seng ni hpe format law malawng n lu hkap la ai online catalog a yak hkak ai lam ni hpe gun hpai na matu shadut ya ai. Hkum hkrang gat seng ni gaw curated, high-velocity core hpe gun hpai nna, online channel gaw galu ai n-gup hpe hparan ai - ngu ai laksan ladat - gaw, channel lahkawng gaw teng sha n bung ai gat dut ai lam ni hpe galaw ai shaloi kaja wa bungli galaw nga ai. Dawdan ai lam gaw asan sha rai nga ai: customers ni gaw online kaw ayan tam nna-store de galai shai ai rai yang, alignment gaw ahkyak ai. Online hte in-store kaw na mari ai ni gaw law malawng n bung ai madat ai ni rai yang, garan ginhka ai lam gaw grau kaja na re.

Gara kaw nna hpang na.Tatut galaw mai dik ai shang wa ai lam gaw, na a e-commerce zero-hpang jahtum tam ai jahpan hpe na a garan ginhka ai masing hpe bai maram yu ai lam hte matut mahkai ai lam rai nga ai. Hpaji hparat nnan n ra ai - category manager ni bai maram yu ai hkrat sum ai tam ai ga san ni hpe shata shagu shapraw ai gaw, -store dut shabra ai lam a jahpan hta galoi mung n hpaw shadan dan lu ai assortment gap ni hpe hpaw shadan dan lu ai. Ndai hpe 1 hte pair galaw ai.gram lajang da ai shelf-madang data hpe shinggyin la lu aiphysical stores ni hta online signal ni hte-store galaw ai lam lapran hta pat da ai n-gun hpe shabyin ya ai.

Ndai lam gaw tatut hta gara hku rai na kun?

Lahta na mabyin masa ni gaw, dut mari ai hkrang amyu myu hta, assortment optimization npawt tara ni hpe gara hku jai lang mai ai hpe madun dan nga ai. Ndai ni gaw, company langai a mabyin masa ni hpe n re ai sha, kasi madun ai ga shadawn ni re.

Grocery: buga na ra kadawn ai lam hpe shinggyin la ai jahpan hta makoi magap da ai.Ginwang kata na malu masha seng langai gaw, aggregate category data hpe jai lang nna, garan ginhka ai lam ni hpe masing jahkrat ai. Amyu bawsang malu masha hpan - makau grup yin langai ngai hta ngang kang ai hkrang shapraw ai lam ni - gaw, shanhte a dut shabra ai lam hpe banner madang de shinggrup dat ai shaloi, shayawm kau ai majaw, ayan na n law htum n lawm ai. Cluster-madung ai ladat gaw, tengman ai basket npawt nhpang hpe gawgap da ai rai nna, gat seng hpung nkau mi hta n law ai hpan ra kadawn ai lam zawn rai nga ai gaw, de a malai, structural data aggregation manghkang re ai hpe hpaw shadan dan nga ai. Dai gat seng ni a template ni hpe buga na mari ai lailen hpe madun dan hkra gram lajang ai gaw, n bung ai lam hpe pat kau ya ai. Enabling factor gaw hpaji ningnan n re - banner hku n re ai sha, ra kadawn ai lam ni hpe store hku nna garan ginhka ai lam re. zawn re ai arung arai ni hku nna grau kaja ai hku mu lu na re.malu masha seng ni hta electronic shelf masat kumla nidai gram lajang da ai assortment ni hpe teng sha galaw nga ai kun ngu ai hpe matut manoi shadawn shadang galaw ai hpe madi shadaw ya ai.

Fashion: galu-hkum SKU hparan ai lam.Specialty apparel dut ai company langai gaw, season langai hta active SKU wan law law hpe gun sa ai. Productivity hpe bai maram yu ai shaloi, dai range a ahkyak ai daw gaw, masing jahkrat ai, arung arai ni hpe shinggyin la ai, bai jat bang ai arung arai ni hpe jai lang ai shaloi, n bung ai hku kaji ai shang gumhpraw hpe shapraw ya ai hpe mu lu ai. Ndai sawk sagawn ai lam gaw, n kaja ai hku galaw ai hpung lahkawng hpe garan ginhka ai: SKU ni hpe chye ginhka lu ai sadi dung ai customer base n nga ai hte n kaja ai shara-to-margin garum ningtum n nga ai, SKU ni gaw, yawng hkra n law ai raitim, mari ai ni a daw langai a lapran hta, bai mari ai lam law ai. Shawng nnan na hpung hpe daw hte daw shapraw kau ai. Lahkawng ngu na hpe gaw, shara garan ai lam hpe gram lajang ai hte tawn da ai. Dai majaw, n-gun ja ai range hpe galaw na matu loi ai hte shelf level hta dawdan ai lam hta n-gun yawm ai lam n byin shangun ai.

Convenience retail: galaw ai lam a lawan ai lam hpe garan ginhka ai hku nna.Square foot shagu hta -stakes law ai shara ni hta, stockout langai a manu hpe n law ai inventory buffer ni hte kaba shangun ai shara ni hta, kaji ai-format shim lum ai htinggaw langai gaw bungli galaw nga ai. Dai hpe shadawn sharam tawn da ai lam gaw assortment plan - n re, stockout byin wa ai hte dai hpe bai htang ai store manang langai lapran na aten re. Dai gap hkat ai lam hpe, aten masat da ai lata hte jep joi ai lam hpe kam hpa na malai, automated shelf monitoring hku nna shayawm ai gaw, -margin impulse category kaba ni a matu, gat seng kata na lu la mai ai lam hpe hkrak hkrak hte shadawn lu ai hku hkra machyi shangun ai.

Galoi mung san ai ga san ni

Retail hta assortment hpe grau kaja hkra galaw ai ngu ai gaw hpa rai ta?

Assortment optimization ngu ai gaw, dut shabra ai lam, margin, hte customers ni a myit dik lam hpe grau law hkra lu la na matu, gat seng shagu hta jaw ai product mix hpe matut manoi lata la nna, gram lajang ai lam re. One-time assortment planning hte n bung ai sha, dai gaw tengman ai-time data hte matut manoi galaw ai lam hpe bai maram yu ai lam ni hpe hpawng de da nna, arung arai lata ai lam hpe tengman ai ra kadawn ai lam hte maren sha tawn da ai.

Assortment masing jahkrat ai hte assortment hpe grau kaja hkra galaw ai lam gaw hpa shai ai kun?

Assortment masing jahkrat ai lam gaw aten kadun, ginjaw kaw nna galaw ai ladat - laksan hku nna aten ladaw (sh) shaning shagu - rai nna, labau masa ni hpe madung tawn nna gara arung arai ni hpe htaw sa na hpe masat da ai. Assortment hpe grau kaja hkra galaw ai lam gaw matut manoi galaw nga ai. Dai gaw, masa galai shai wa ai hte maren, garan ginhka ai lam hpe galai shai na matu, tengman ai-ten masa ni hpe bang nna,-madang na galaw ai lam hpe shinggyin tawn da ai. Planning gaw shawng nnan na lam hpe masat da ya ai; optimization gaw shi hpe n-gun jaw ya ai.

AI gaw gara hku nna assortment hpe grau kaja hkra galaw ya ai kun?

AI gaw, cluster averages hta lai nna, store-madang ra kadawn ai lam hpe tau hkrau tsun dan lu ai, galai shai ai lam a akyu ni hpe jahpan galaw ai shaloi, n kaja ai SKU ni hpe chye ginhka lu ai, ya aten na dut shabra ai lam a lawan ai lam hpe madung tawn nna planogram hpaji jaw ai lam ni hpe shapraw ya lu ai, hte real- aten masat kumla ni hpe galaw lu ai - nbung laru n nga ai, buga ginra hta byin ai mabyin masa ni hpe galaw lu ai. galaw sa wa na aten hta bang da ra ai.

Assortment galaw ai lam hta hkrat sum ai lam ni gaw hpa ni rai kun?

Grau nna hkrat sum ai lam 5: ya aten na ra kadawn ai lam hpe n lu hkam la ai labau hte seng ai shiga ni hpe grai-kam hpa ai lam; buga ginra shai hkat ai lam hpe n lawm ai ginjaw dawdan ai lam-; n hkum tsup ai sumla hpe shapraw ya ai siloed data system ni; planogram hkan sa ai lam gaw ginjaw garan rung sawn la ai hta grau yawm ai; hte in-store dut shabra ai lam hta sha n mu lu ai gap hkat ai lam ni hpe hpaw shadan dan ai online ra sharawng ai masat kumla ni hpe n bang ai.

Assortment hpe grau kaja hkra galaw na matu gara KPI ni hpe hkan tam ra ai kun?

Akyu rawng dik ai masat masa ni gaw stockout rate, dut shabra ai -hpang rate, SKU galaw shapraw lu ai atsam (shelf shara unit langai hta shang gumhpraw (sh) margin), planogram hkan sa ai rate, category margin garum shingtau ai lam, hte cluster ra kadawn ai lam hpe shingdaw ai lam (cluster hta masing jahkrat da ai garan ginhka ai lam hte teng sha dut shabra ai -madang lapran na shai hkat ai lam) ni rai nga ai. Ndai yawng hpe shinggyin la ai hku sha n-ga, store madang hta hkan tam u.

Hkrang shapraw na matu kade daram na hkra aten la ra ai kun?

Baseline audit hte cluster- hpe madung tawn ai kaja dik htum hkrang hpe shata loi mi laman hta, nga taw sai data ni hpe jai lang nna, laksan hku nna galaw mai ai. Grau nna htuk manu ai AI-driven matut manoi galaw sa wa na matu grau ngang kang ai data npawt nhpang ra nna, hkum tsup hkra galaw lu na matu shata 12 kaw nna 18 laman aten la ra na re. Audit kaw nna hpang ai gaw, hpaji hparat nnan hpa mung n ra shi yang, lawan ai awng dang lam ni hpe galoi mung madun dan ai.

Kaji ai dut mari ai ni gaw assortment hpe grau kaja hkra galaw ai kaw na akyu lu la na kun?

Mai sa. Ndai npawt tara ni gaw scale - hpe n sawn ai sha jai lang mai ai gara arung arai ni gaw shanhte a shara hpe lu la ai hpe chye na ai, stockout frequency hpe hkan tam ai, dut shabra ai data hte arung arai dawdan ai lam lapran hta bai htang ai lam ni hpe gawgap ai gaw gara size operation a matu mung lachyum nga ai. Kaji ai dut mari ai ni gaw, hpaga hpung AI platform ni hpe n ra na re; manu jahpu n jaw ra ai (sh) manu n law ai-analytics tools ni gaw shanhte hta nga sai data ni hpe madung tawn nna akyu rawng ai optimization hpe madi shadaw ya lu ai. hpe lata ai .hkra maga na shelf label hparan ladatgaw, npawt nhpang gawgap lam hta gumhpraw law law n bang ai sha, data hpe grau kaja hkra galaw na matu tatut galaw mai ai npawt nhpang langai rai nga ai.

Gara data hpe galaw hpang ra ai kun?

N law htum: SKU-madang dut shabra ai lam hpe n law htum shata 12 labau nga ai gat seng langai hku nna, ya aten na arung arai madang ni, hte shelf hta nga ai hpe shadawn shadang nkau mi - manual stockout report ni hpe pyi. Ndai npawt nhpang kaw nna, lachyum rawng ai jep joi ai lam hpe galaw lu nna, na a grau tsaw ai-hpyen ahkaw ahkang ni hpe chye na lu nna, data hpe gram lajang na matu lam madun hpe gawgap lu na re. Hkum tsup ai data gaw shawng nnan ra ai lam n re. Akyu rawng ai optimization gaw n hkum tsup ai data ni hte mai byin ai, shi a gap ni hpe chye na nna account galaw ai rai yang she mai byin ai.

Gara kaw nna hpang na

Assortment optimization gaw, matut manoi loop - hku nna bungli galaw ai shaloi, bungli galaw ai lam hpe sawk sagawn ai, product mix hpe gram lajang ai, -store hta galaw ai, mahtai hpe shadawn ai, bai galaw ai shaloi manu dan dik htum hpe jaw ya ai. Ndai atsam hpe grau kaja hkra gawgap ai dut mari ai ni gaw, grau nna rawt jat galu kaba wa ai arung arai ni hta shawng nnan gumhpraw bang ai ni n rai ma ai. Shanhte gaw, shanhte a ya na assortment gara kaw hkrat sum nga ai ngu ai hpe tengman ai data kaw nna hpang nna, dai data hpe tut nawng galaw sa wa na matu uhpung uhpawng a akyang lailen ni hpe gawgap ai ni rai ma ai.

Nang gaw npawt kaw nna hpang wa ai rai yang, kalang ta galaw mai ai lam mali nga ai: nang hta nga sai data ni hpe lang nna stockout hte SKU productivity audit galaw na; na a store cluster lachyum ni hpe sawn la ai masha jahpan hta grau nna, teng sha mari ai akyang lailen hte bai maram yu u; na a e-commerce zero-hpang jahtum tam ai data hpe na a garan ginhka ai masing jahkrat ai bungli masa hte matut mahkai u; hte gara assortment dawdan lam ni hpe n galaw shi yang shinggyim masha langai mi bai maram yu ra ai ngu ai hpe automate galaw ra ai hpe tsun dan ra ai.

Ndai langai hte langai hpe hpaji hparat nnan langai ngai hpe garai n mari shi yang galaw mai ai - rai nna langai hte langai gaw hpaji hparat hta gumhpraw bang ai gaw gara de teng sha n-gun dat na hpe grau nna asan sha mu lu shangun na re.