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AI in Retail
OverviewJuniper’s AI in Retail research provides a detailed overview of how AI & machine learning approaches are being leveraged by retailers to improve the customer experience and their own profitability. The research analyses different use cases such as demand forecasting and personalisation in retail, with assessment of the opportunities available for retailers and technology providers.
The report also discusses the emerging use of chatbots in the retail environment, assessing their future viability. It also includes insightful player analysis alongside key recommendations for stakeholders in the industry to inform strategic planning.

Key Features

  • Market Landscape: Investigates key use cases for AI & machine learning in the retail space, assessing AI’s potential impact and viability in each area. These use cases are the following:
    • Demand Forecasting;
    • Sentiment Analytics and Customer Service;
    • Automated Marketing;
    • Retail Chatbots.
  • AI Development Landscape: Understand the development stages of AI and what investments have been made by large vendors and what the future outlook for AI deployment is.
  • Benchmark Industry Forecasts for retailer spending on machine learning services, broken down by the following segments:
    • Demand Forecasting;
    • Sentiment Analytics and Customer Service;
    • Automated Marketing.
    • Additional forecast for revenues generated by retail chatbots.
  • Interviews: with leading players across the AI in retail landscape, including: 
    • Sentient Technologies.
  • Juniper Leaderboard: 13 leading AI in Retail vendors compared, scored and positioned on the Juniper Leaderboard matrix.

Key Questions

  1. At what pace are retailers expected to adopt machine learning services?
  2. What are the most viable use cases for AI deployment in the retail industry?
  3. Who are the key disruptors in this space, and what strategies are vendors employing?
  4. What are the key trends, trends and challenges acting on the AI industry?
  5. How is the industry expected to develop towards 2022 and beyond?

Companies Referenced

Interviewed:, Sentient Technologies.
Profiled: Adobe, Amazon, Baidu, Facebook, IBM, Intel, Microsoft, Oracle, Relex, Salesforce, Sentient Technologies, Slyce, ToolsGroup.
Case Studied: Amazon, Cortexica Vision Systems, Google, LevaData, Mall of America,, NVIDIA.
Mentioned: 1-800-Flowers, A.S. Adventure, Accenture, AdRoll, Aldo,, Apple, AppNexus, Ashley Furniture, Aston Martin, Best Buy, Bilka, Blackberry, Charlotte Tilbury, Comb, Comfiz, Conversionista, ConversionXL, CONVRG, Coop Denmark, Costa, Criteo, Deepnify, Dell, Deloitte, Disney, Dixons Carphone, Domino’s, eBay, Emarsys, Express, Fashwell, Game, Gannett, Gant, Granify, Graymatter, H&M, Hawkers, HMV, Home Depot, IEEE, IMS Evolve, Infosys, JCPenney, John Lewis, KPMG, L’Oréal, Lacoste, Levi’s, Lionsgate, Louis Vuitton, Luxottica, Macy’s, MediaMath, MemoMi, Morrisons, Mothercare, Myntra, Nanigans, NEC, Neolane, Netsuite, Nike, North Face, O2, Ocado, Online Dialogue, Pandora, Plantasjen, PwC, Rakuten, River Island, Rossmann, SAP, Satisfi Labs, Sensitel, Sephora, Skechers, SnipSnap, Snapchat, Square, Technion/EE, TellApart, Tesco’s, Thread, T-Mobile, Tommy Hilfiger, Toys R Us, Triggit, Tumi, Turn, Twitter, Unilever, UNIQLO, United Colours of Benetton, Very, Videosurf, ViSenze, Waitrose, Walmart, Wayfair, WHSmith, Wipro, WPP, Visa, xPerception, Zalando, Zalora.

Data & Interactive Forecast

Juniper’s AI in Retail forecast suite includes:
  • Country level data splits for:
    • US
    • Canada
    • Denmark
    • Germany
    • Norway
    • Portugal
    • Spain
    • Sweden
    • UK
    • China
    • Japan
    • Plus 8 key global regions
  • Machine Learning spending by retailers, split by segment:
    • Demand Forecasting;
    • Sentiment Analytics and Customer Service;
    • Automated Marketing.
  • Total revenues from retail chatbots.
  • Interactive Scenario tool allowing user the ability to manipulate Juniper’s data for xx different metrics.
  • Access to the full set of forecast data of 26 tables and 3,432 data points.
Juniper Research’s highly granular interactive excels enable clients to manipulate Juniper’s forecast data and charts to test their own assumptions and compare markets side by side in customised charts and tables. IFxls greatly increase clients’ ability to both understand a particular market and to integrate their own views into the model.  

AI in Retail Research Report


Full Research Suite

Juniper’s new research on AI in Retail investigates the growth of this emerging sector, which is being boosted by advances in AI technology and increases in technological availability. Includes a PDF report, interactive forecast Excel, and 12 months' access to harvest online data platform.

Feb 2018




Report PDF & Excel

AI in Retail report and forecasts only, comprising:

  • AI in Retail PDF report
  • Interactive Forecast IFXL spreadsheet

Feb 2018




Research Details

Nick Maynard
Content & Commerce
8 Key Regions - includes North America, Latin America, West Europe, Central & East Europe, Far East & China, Indian Subcontinent, Rest of Asia Pacific and Africa & Middle East
Canada, China, Denmark, Germany, Japan, Norway, Portugal, Spain, Sweden, UK, USA

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