Einzelhandel

Wie zuvor schon im Bankensektor, im Gastgewerbe und in der Reisebranche läuft die digitale Transformation jetzt auch im Einzelhandel auf Hochtouren. Im Vergleich zu digitalen Nachzüglern erzielen digitale Vorreiter ein fünfmal stärkeres Umsatzwachstum, ein achtmal höheres operatives Ergebnis und einen zweimal höheren Return on Shareholder Value. Warum? Weil sie eine überragende Kundenerfahrung ermöglichen, innovative und digital vernetzte Produkte entwickeln und ihre Prozesse kontinuierlich optimieren. Wenn Sie als Unternehmen führend in Ihrer Branche sein möchten, müssen Sie auch bei der Digitalisierung die Nase vorn haben. Worauf warten Sie also noch?

By 2024, 60% of retailers will implement AI-enabled software solutions; however, only 20% of those will unlock differentiated use cases, broadening the gap in the new intelligence divide.

*IDC FutureScape—Worldwide Retail 2020 Predictions

Vorteile

Connecting & Responding in Real Time

Increasingly, retail is a digitally connected ecosystem. Intelligent operations require real-time access to information and automated decisioning. Cloud-native sources and systems reset connectivity, access, and response.

Trusting Data across the Enterprise

When the consequences of making the wrong decision outweigh doing nothing, organizations fail to innovate and progress. Retailers need connectivity across their business, governance, control of data, and 360-degree customer views.

Managing beyond Data Swamps & Silos

Retailers are not in short supply of data. With little to no focus on which data was critical to decision-making, big data led to volumes of disparate data. Retailers must reduce data complexity and volume with intelligent and actionable data layers.

Blending History & Current Context

When awareness of the present—location, browsing, inventory, weather—is seamlessly integrated with predictive preference, the power of personalization magnifies. Event-stream processing platforms integrate the past with the now to better anticipate the future.

Closing Talent Gaps and Bottlenecks

As data science becomes vital, hiring & retaining these professionals is hard. A good option is empowering more decision-makers with the tools previously only available to technical roles, and with data needed to optimize operations and reshape customer experience.

Innovating, Exploring, Adapting

Analyzing connected historical and contextual data allows you to ask what if questions, gain feedback, and make quick adjustments in processes. Retailers with a continuous view of learning and model management sustain their innovation over the long-term.

Capabilities

Holistic View of Customer Journeys

Successful customer engagement spans multiple touchpoints over the course of a single purchase or a longer-term relationship. Awareness and response to dynamic needs are critical.

Seamless Cross-channel Experience

We've come a long way from bricks & clicks. Today's consumers expect a fluid and consistently familiar experience in all their interactions, no matter what channel they use.

Flexible, Adaptive Supply and Demand

Just as shopping in stores evolved, so did receiving goods and services. Last-mile delivery is transforming in parallel with purchasing.

Contextual, Predictive Personalization

Personalization is no longer limited to basic segmentation. Contextual and situational awareness, along with more insightful data for retail analytics, are redefining what it means to be personal.

User-driven Experiences

The idea of control has never been so important. Whether for self curation of style, privacy, or user-generated products, the consumer demands more control over the shopping experience.

Access to New Markets and Segments

Retail leaders redefine the nature of channels, expanding into new lines of business, and taking share and loyalty from competitors who are too slow to react.

Customers

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