Retailigence Presentation
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This document summarizes Retailigence, a company that provides a data platform for sharing real-time product inventory and location data between retailers and shopping apps. The platform allows retailers to attract new customers and drive foot traffic by making their inventory available to apps. It also gives app developers an API to access consolidated inventory data. Retailigence has received $1.5 million in seed funding and works with over 50,000 stores and 3 million products. Their case study on Nordstrom found that sharing inventory led to an 8% increase in same-store sales.
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This document summarizes Retailigence, a company that provides a data platform giving app developers and retailers access to up-to-date product inventory and location data. Retailigence has received $1.5 million in seed funding. Their platform allows shoppers to more easily find products using mobile apps and websites. For retailers, it can increase foot traffic and sales without discounts by showing customers what items are available nearby. Nordstrom is highlighted as seeing an 8% jump in same-store sales after sharing inventory data through Retailigence's platform.
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Ordinateurs, Mobiles, Tablettes, Montres, Voitures, … Aujourd’hui, grâce à des technologies de communication et de traitement de l‘information de plus en plus performantes et de moins en moins chères, nous entrons dans un monde multi devices où tout objet physique va être “connecté”, commandé à distance et pourra communiquer avec d’autres. Ce nouvel eco-système offre des opportunités sans précédent de nouveaux services et de personnalisation qui vont bouleverser notre vie courante. Cependant, plus il se développe, plus les individus prennent conscience des risques inhérents, plus spécifiquement autour de la protection de leurs données et de leur vie privée. Aussi, ce monde connecté confronte les entreprises à des cyber attaques de plus en plus nombreuses et élaborées, mettant à rude épreuve l’intégrité de leurs systèmes d’information et de leurs données clients. Dès lors, cet enjeu de protection devient commun aux deux parties avec, en filigrane, la confiance et la qualité de l’engagement.
Hervé Le Jouan, CEO de Privowny et figure reconnue du monde mobile et de la donnée, nous expliquera pourquoi et comment ces enjeux constituent une opportunité unique de mettre les individus au centre, de leur donner un pouvoir de visibilité et de contrôle qui bénéficiera assurément aux entreprises: une confiance éclairée!
Big data in retail industry
INTRODUCTION:
A lot of people are under the impression that great marketing is an art, but of late, big data has introduced a scientific element to marketing campaigns.
Smart marketers are now relying on data more than ever to inform, test, and devise their strategies.
And though data and analytics will never replace the creative minds behind the best marketing campaigns,
it can definitely provide the marketers with the tools to help perform better.
Consumers have 24 hour access to abundant product information which has revolutionized the retail sector.
With digital technology becoming ubiquitous, shoppers can make informed decisions using online data and content
to discover, compare, and buy products from anywhere and at any time.
For brands and retailers, information is also a game-changer. Retail data analytics has the ability to help companies
stay at par with the shopping trends by applying customer analytics to uncover, interpret, and act on meaningful data insights.
PROBLEM #1: Siloed, Static Customer Views
Many retailers still struggle with siloed data – transaction data lives apart from web logs
which in turn is separate from CRM data, etc.
PROBLEM #2: Time Consuming Vendor & Supply Chain Management
Supply chains are already driven by numbers and analytics,
but retailers have been slow to embrace the power of realtime analytics
and harnessing huge, unstructured data sets.
PROBLEM #3: Analysis Based on Historical Data
Looking back at shoppers’ past activity often isn’t a good indication of what they will do next.
Instead, real-time prediction based of current trends and behaviors from all sources of data is the key.
Prediction and Machine Learning in Real Time.
PROBLEM #4: Efficiency
Although the majority of retailers consider operational efficiencies to be of the utmost importance,
less than a third are able to figure out how to achieve them.
While “67% of retailers consider overall business operations efficiency to be of high or critical importance,
only 27% consider themselves able to manage this well,
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Big data in retail industry
INTRODUCTION:
A lot of people are under the impression that great marketing is an art, but of late, big data has introduced a scientific element to marketing campaigns.
Smart marketers are now relying on data more than ever to inform, test, and devise their strategies.
And though data and analytics will never replace the creative minds behind the best marketing campaigns,
it can definitely provide the marketers with the tools to help perform better.
Consumers have 24 hour access to abundant product information which has revolutionized the retail sector.
With digital technology becoming ubiquitous, shoppers can make informed decisions using online data and content
to discover, compare, and buy products from anywhere and at any time.
For brands and retailers, information is also a game-changer. Retail data analytics has the ability to help companies
stay at par with the shopping trends by applying customer analytics to uncover, interpret, and act on meaningful data insights.
PROBLEM #1: Siloed, Static Customer Views
Many retailers still struggle with siloed data – transaction data lives apart from web logs
which in turn is separate from CRM data, etc.
PROBLEM #2: Time Consuming Vendor & Supply Chain Management
Supply chains are already driven by numbers and analytics,
but retailers have been slow to embrace the power of realtime analytics
and harnessing huge, unstructured data sets.
PROBLEM #3: Analysis Based on Historical Data
Looking back at shoppers’ past activity often isn’t a good indication of what they will do next.
Instead, real-time prediction based of current trends and behaviors from all sources of data is the key.
Prediction and Machine Learning in Real Time.
PROBLEM #4: Efficiency
Although the majority of retailers consider operational efficiencies to be of the utmost importance,
less than a third are able to figure out how to achieve them.
While “67% of retailers consider overall business operations efficiency to be of high or critical importance,
only 27% consider themselves able to manage this well,
Big Data for the Retail Business I Swan Insights I Solvay Business School
Slides of a course given at the Solvay Business School about Big Data potential in the Retail Business.
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Shopper power notes slide deck no voice over 3.0
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UCD October 2014
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Analyzing your market: How Big Data plus Social Equals Better Engagement
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AI in Retail
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What's the big deal about big data 1 30-2015
David Zahn of ZAHN Consulting, LLC and Fred McCormick of CMS Consulting, Inc.discuss the requisite steps to take to maximize the impactfulness of "Big Data" implementations and what steps to take to ensure the success of integrating technological advances into; operations, merchandising, inventory control, in-store marketing, etc.
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For more information, feel free to contact ZAHN Consulting, LLC and CMS Consulting, Inc. at either: www.zahnconsulting.com or cmsconsultinginc.com.
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Retailigence Presentation
- 1. Jeremy Geiger, CEO Under The Radar Conference November 12th,2010
- 2. Local Businesses Spend $60B on Advertising January 30, 2015 Retailigence, Inc www.retailigence.com2
- 3. Yet shoppers still ask “Where can I buy it?” January 30, 2015 Retailigence, Inc www.retailigence.com3 Hunt around the mall and hope it’s in stock… Drive around town checking stores… Call places they “think” might have it… Buy online, pay for shipping and wait… Retailigence-powered apps can help them find it now!
- 4. …but inventory information is “sacred” January 30, 2015 Retailigence, Inc www.retailigence.com4 Local product availability Local product availability Local product availability
- 5. Case Study: Nordstrom January 30, 2015 Retailigence, Inc www.retailigence.com5 Jamie Nordstrom, President, Nordstrom Direct: • Publishing inventory translated into “some pretty meaningful results.” - Same-stores sales jumped 8 percent (inventory publishing had a significant impact on this) • “Any retailer that fails to get this is apt to fall behind. “ -Huffington Post, Aug. 2010
- 6. January 30, 2015 Retailigence, Inc www.retailigence.com6 • Tell shoppers it’s in stock without rebuilding website • Attract new customers via location-aware web and mobile channels • Generate foot-traffic without offering discounts Retailigence Helps Retailers
- 7. Benefit to Apps and Retailers January 30, 2015 Retailigence, Inc www.retailigence.com7 Retailer Retailer Retailer Retailer Data Providers Our Data as a Service (DaaS) platform provides: • Retailers: Presence in the apps that shoppers use • App Developers: Consolidated source for product availability Data Consumers Barcode scanning apps Shopping apps Product & location sites Augmented reality apps Location- based services GPS devices Retailigence Platform
- 8. Powering location-based shopping January 30, 2015 Retailigence, Inc www.retailigence.com8 Ease of adoption App Developers: Open API • Free for developers • Supports all mobile Operating Systems & Carriers Retailers: Connectors and expertise to automate back-end integrations Powerful Analytics API Data-as-a- Service (DaaS) Connectors Analytics
- 9. About Retailigence Announcing $1.5M in seed funding from: - Draper Fisher Jurvetson - Quest Venture Partners - Dave McClure’s 500 Startups LLC - ZIG Capital (New York) - Global Brain Corporation (Japan) Database containing more than 3 million products and more than 50 thousands stores Experienced team of 14 members with extensive background in retail and technology from companies like: January 30, 2015 Retailigence, Inc www.retailigence.com9
- 10. Data sources and consumers Retail data being sourced from… Retail data being delivered to… January 30, 2015 Retailigence, Inc www.retailigence.com10 Pic2Shop Stipple BarCodeScan PricePad MixMobi WikiTude
- 11. What we are looking for… Retailers interested in: • Improving mobile marketing • Increasing in-store foot-traffic • Becoming visible in hyper-local product searches App developers who want to add a shopping component to any location-based app Media and advertising agencies interested in creating unique campaigns with a local dimension bizdev@retailigence.com www.retailigence.com January 30, 2015 Retailigence, Inc www.retailigence.com11