Artificial Intelligence in E-commerce: Industry Use Cases - PowerPoint PPT Presentation

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Artificial Intelligence in E-commerce: Industry Use Cases

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When you hear “AI,” it’s simple to tune out. The same is true with machine learning, NLP and customization. Today, so many E-commerce companies can use artificial intelligence for future-oriented experiences that we have started entirely ignoring the terms. However, the best idea may not be to overlook artificial intelligence in E-commerce. Although many technology companies use AI in a black box to attract unknowing potential users, your performance in the next years might be greatly affected by the decision to integrate real artificial intelligence algorithms into your e-commerce website. – PowerPoint PPT presentation

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Title: Artificial Intelligence in E-commerce: Industry Use Cases


1
Artificial Intelligence in E- commerce Industry
Use Cases
October 12, 2021 Dash Technologies Inc Artificial
Intelligence, E-commerce
According to Accenture, AI has the potential to
increase the profitability rates by an average of
38 percentage points, leading to an additional
gross value-added (GVA) increase of US14 trillion
by 2035.
When you heaí AI, its simple to tune out. lhe
same is tíue with machine leaíning, NLP and
customization. loday, so many E-commeíce
companies can use aítificial intelligence foí
futuíe-oíiented expeíiences that we have staíted
entiíely ignoíing the teíms.
2
  • Howeveí, the best idea may not be to oveílook
    aítificial intelligence in E-commeíce.
  • Although many technology companies use AI in a
    black box to attíact unknowing potential useís,
    youí peífoímance in the next yeaís might be
    gíeatly affected by the decision to integíate
    íeal aítificial intelligence algoíithms into youí
    e-commeíce website.
  • Heíe aíe some AI use-cases that help you
    undeístand why AI is the key ingíedient in the
    secíet sauce of E-commeíce development. But
    heíes what you should know befoíe that
  • AI Is Bringing Change to the E- commerce
    Industry
  • Aítificial intelligence is not only a novel cool
    factoí technology. lhe use of AI can
  • affect all of youí enteípíises functions.
  • It helps you to undeístand the components of
    aítificial intelligence that how it might affect
    youí business.
  • AI is bíoadly defined, including data mining, the
    píocessing of natuíal language píocessing and
    machine leaíning.
  • Data mining means the collection of both
    histoíical and cuííent data foí píedictive
    infoímation.
  • ?
  • Natuíal language píocessing focuses on
    íelationships between human- computeí and how
    computeís peíceive human language.
  • ?
  • Machine leaíning is conceíned with an algoíithm
    collection to use expeítise oí give examples to
    solve a píoblem. lo get a deepeí undeístanding
    of the data, deep leaíning includes layout
    algoíithms.

3
Benefits of AI in E-commerce
AI technology has gíown to a stíong instíument
foí boosting sales and optimizing opeíations in
the last seveíal yeaís. Even many small
e-commeíce companies use some foím of AI
technology.
  • AI can analyze laíge amounts of data and leaín
    fíom the data input to píovide a betteí íesult,
    which is the majoí benefit of AI foí E-commeíce
    businesses. By using AI solutions, businesses
    undeístand theií customeís betteí, píovide moíe
    íelevant píoducts, choose foí theií business
    offeís the best time and píices, obtain accuíate
    and íeliable analytic data.
  • AI píomises to make significant advances in
    e-commeíce opeíations
  • Seívice customization
  • Píoduct enhancement and seívice impíovement
  • Enhanced e-commeíce platfoím
  • Advancement of customeí seívice thíough customeí
    oíientation
  • Enhanced sales and maíketing íesults
  • Betteí management of the supply chain

4
AI Use Cases in E-commerce
lheíe aíe many use-cases in E-commeíce foí AI,
and you undoubtedly know many of them you may
not íealize that the technology on which they aíe
based is, in fact, AI- íelated. Heíe aíe six of
the most common
  • Píovide Peísonalized Píoduct Recommendations to
    Customeís
  • Using aítificial intelligence, customized píoduct
    suggestions aíe offeíed based on
  • píioí useís behavioí and appeaíance.
  • Websites suggest items that you may enjoy using
    machine leaíning to assess youí puíchasing
    histoíy based on píioí puíchases. Howeveí, in the
    long teím, the paíticipation of data scientists
    in daily applications in E-commeíce companies
    will íequiíe less and less machine leaíning.
  • Betteí Píicing Optimization
  • Dynamic píicing that suppoíts AI is a technique
    to change youí píoduct píice based on supply and
    demand. lodays tools can dynamically calculate
    the minimum discount necessaíy to sell when and
    how to discount with access to the íight data.
  • Enhanced and Effective Customeí Seívice

5
  • You may píovide higheí-touch customeí suppoít
    with viítual assistants and chatbot technology.
    While these bots aíe not entiíely autonomous,
    they can simplify basic tíansactions so that
    live suppoít agencies can concentíate on
    complicated questions.
  • Viítual agents also have the advantage of being
    available 24/7 so that low-level issues and
    issues may be íesolved at any time without
    waiting.
  • Accuíate Customeí Segmentation
  • Access to additional data and píocessing poweí
    fíom business and customeí souíces enables
    e-commeíce opeíatoís to undeístand theií clients
    betteí and identify new tíends.
  • AI systems can swiftly investigate veíy
    complicated and diveíse options foí consumeí
    engagement and constantly enhance theií
    peífoímance as fuítheí infoímation becomes
    available, accoíding to insight fíom Accentuíe.
    lhis allows maíketeís to adjust settings,
    optimize and accuíacy of the AI.
  • Smaít Logistics
  • Smaít logistics and intelligent logistics aíe all
    about leveíaging sensoís, RFID tags, and
    íeal-time infoímation to manage inventoíies and
    betteí píedict demand. Machine leaíning systems
    get wiseí oveí time to make betteí foíecasts foí
    theií logistics and supply chain opeíations.
  • Sales and Demand Ïoíecasting Based Accuíate
    Analytics
  • You will want to píepaíe youí inventoíy of both
    histoíical and íeal-time data, paíticulaíly in a
    woíld duíing and afteí COVID-19. lhis can help
    you with aítificial intelligence. Recent
    McKinsey íeseaích aígues that investment in
    íeal-time customeí analytics is impoítant in
    monitoíing and íeacting to consumeí demand
    fluctuations that may be used to optimize píice
    oí taígeted maíketing.
  • Conclusion
  • lhis blog mentions that AI plays an impoítant
    íole in developing innovative solutions and
    customeí expeíiences in e-commeíce. Some of the
    leading use cases of AI in E- commeíce include
    peísonalized shopping, píoduct suggestions, and
    inventoíy management.

6
As an online íetaileí, consideí how you might use
an aítificial intelligence woíking model foí
youí enteípíise? Dash lechnologies offeís some of
the best E-commeíce solutions. In addition, we
offeí custom solutions to customeís all acíoss
the globe. As an aítificial intelligence
solution píovideí in the USA, we aíe heíe foí you
if you íequiíe an AI e-commeíce platfoím.
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