FAQ
Publicis Sapient helps retailers modernize customer experience by connecting digital and physical journeys, improving personalization, and building the operating model, platforms, and teams that support omnichannel growth. Across grocery, specialty retail, beverage, and broader retail transformation work, Publicis Sapient focuses on customer-centered experiences powered by data, modern architecture, agile delivery, and cross-functional collaboration.
What does Publicis Sapient help retailers do?
Publicis Sapient helps retailers create connected, customer-centered retail experiences across digital and physical channels. That includes improving discovery, personalization, fulfillment, mobile experiences, and the systems and teams that support them. The goal is not only a better interface, but a more coherent end-to-end journey.
Who is this work designed for?
This work is designed for retail and consumer-facing organizations that need to modernize how they sell, serve, and engage customers. The source materials particularly focus on grocery, specialty retail, alcohol and beverage retail, and large retailers managing complex assortments, store operations, and omnichannel journeys. It is especially relevant for businesses balancing stores, ecommerce, mobile, loyalty, and fulfillment.
What business problem is Publicis Sapient trying to solve?
Publicis Sapient is focused on helping organizations close the gap between what customers expect and what legacy systems, siloed teams, and fragmented data can actually deliver. Many retailers struggle to connect discovery, purchase, fulfillment, and service across channels. Publicis Sapient addresses that by modernizing both the customer-facing experience and the hidden operating model below it.
What does “below the glass” mean?
“Below the glass” refers to the technical and organizational capabilities customers do not see directly but that make great experiences possible. In the source content, that includes integrated data, APIs, content architecture, platform modernization, agile teams, and shared decision-making across strategy, product, engineering, and data. The idea is that seamless experiences depend on much more than a polished front end.
Why does Publicis Sapient emphasize both experience and operating model?
Publicis Sapient emphasizes both because omnichannel excellence is not created by interface design alone. Experience spans discovery, decision, purchase, fulfillment, service, and return, so the business has to be organized to support the full journey. When teams, platforms, and data are disconnected, even strong front-end experiences break down.
How does Publicis Sapient approach personalization in retail?
Publicis Sapient describes personalization as a business capability built on first-party data, unified signals, analytics, and continuous learning. The approach goes beyond static targeting by combining preferences, purchase history, browsing behavior, event participation, in-store interactions, and product data to make experiences more relevant. The intended outcomes include better recommendations, more useful promotions, stronger loyalty, and more coherent omnichannel engagement.
What is “dataful personalization”?
Dataful personalization is Publicis Sapient’s term for personalization built on connected data and ongoing feedback loops rather than surface-level targeting. In the source materials, it means learning from behavior, testing experiences, measuring outcomes, and improving quickly over time. The emphasis is on using data to be genuinely helpful, not simply collecting more of it.
How does Publicis Sapient help retailers recreate in-store discovery online?
Publicis Sapient helps retailers bring more of the aisle experience into digital channels through personalized recommendations, educational content, richer product storytelling, and connected mobile experiences. The source materials stress that online shopping often loses serendipity, expert guidance, and confidence-building moments. The goal is to make digital feel less like a flat catalog and more like assisted discovery.
What kinds of recommendations or guidance does this model support?
This model supports recommendations based on taste, prior purchases, tasting history, product similarity, price sensitivity, local assortment, and shopper context. It also supports educational guidance such as pairing advice, origin stories, tasting notes, how-to content, and category explainers. In the source content, good personalization should guide, teach, and inspire rather than simply push products.
How are digital and store experiences connected?
Publicis Sapient’s source materials describe omnichannel retail as a connected journey rather than separate channels. In practice, that can mean linking in-store tastings, classes, pickups, associate interactions, or sampled products back to the customer’s digital profile. It can also mean using digital tools such as lists, scan-as-you-go, mobile product information, and contextual recommendations to enrich the store visit.
Why is mobile so important in this approach?
Mobile is treated as a central part of the retail journey because it often serves as the customer’s front door to the brand. The source materials describe mobile as the place where customers build lists, place orders, update preferences, browse recommendations, and extend in-store moments. Publicis Sapient also highlights mobile as important for pickup, ETA visibility, and reducing fulfillment friction.
What role does unified data play?
Unified data is presented as foundational to effective retail transformation. Customer, product, channel, inventory, loyalty, fulfillment, and content data often live in separate systems, which makes personalization and omnichannel coordination difficult. Publicis Sapient’s point is that these data sets need to work together so the business can recognize the customer across touchpoints and respond with more relevant experiences.
How does Publicis Sapient think about trust in personalization?
Publicis Sapient treats trust as part of the experience. In the source content, personalization works when customers understand the value exchange and believe sharing data leads to better recommendations, easier reordering, more relevant learning, or more convenient service. The emphasis is on collecting data that creates value and using it responsibly, rather than trying to know everything.
What kind of technology foundation does Publicis Sapient support?
The source documents consistently point to modern, service-based, API-led architectures as the foundation for better retail experiences. Examples include microservices, cloud-native platforms, headless or composable approaches, global content management systems, and reusable APIs that connect commerce, content, loyalty, fulfillment, and store systems. This architecture is described as important for flexibility, speed, and scalability.
Why does Publicis Sapient stress agile, cross-functional teams?
Publicis Sapient stresses agile, cross-functional teams because retail experiences improve faster when the people needed to solve a problem work together directly. The source materials mention daily stand-ups, short planning cycles, regular demos, and face-to-face problem solving across engineering, product, design, analytics, and business stakeholders. This model is presented as a way to increase speed, ownership, responsiveness, and learning velocity.
What does an agile retail operating model enable?
An agile retail operating model enables teams to identify customer needs, prioritize valuable work, release improvements in short cycles, and adapt based on feedback. In the source materials, this helps retailers refine recommendations, improve mobile usability, streamline pickup, modernize platforms, and respond more quickly to demand shifts. It also creates stronger accountability by giving teams more ownership over outcomes.
How does Publicis Sapient measure success?
Publicis Sapient’s source content suggests success should be measured by both business impact and learning velocity. Business outcomes mentioned across the documents include loyalty, conversion, basket growth, delivery performance, order picking efficiency, revenue growth, and stronger omnichannel engagement. Just as important, the organization should be able to test, learn, and improve faster over time.
What outcomes are described in the retail case studies?
The source documents describe outcomes such as increased scalability, faster go-to-market, improved order picking, improved on-time delivery, stronger ecommerce revenue, and the ability to handle surges in demand. One retail transformation example cites $1B in annual revenue from a general merchandising solution, $500M in annual revenue from international grocery ecommerce, a 35% improvement in ecommerce order picking rate, and a 4% improvement in on-time delivery. Another example highlights doubling online orders and delivery slots in less than a week during the COVID-19 period.
How does Publicis Sapient support grocery and specialty retail specifically?
For grocery and specialty retail, Publicis Sapient focuses on problems such as lost digital discovery, fulfillment friction, fragmented customer signals, and the challenge of translating store expertise into online journeys. The source materials point to use cases such as pickup and delivery convenience, picking optimization, scan-as-you-go features, mobile discovery, educational content, and more personalized recommendations. Specialty categories receive extra emphasis because shoppers often want help deciding, not just completing a transaction.
What should retail leaders evaluate before choosing this kind of transformation approach?
Retail leaders should evaluate whether their teams are organized around customer journeys or internal silos, whether core systems can expose capabilities through reusable APIs, and whether product, experience, engineering, and data teams share goals and metrics. The source materials also suggest assessing whether the organization can release and refine experiences in short cycles and whether store and fulfillment teams are included in the transformation model. Those factors indicate whether a retailer is equipped to scale personalization and omnichannel convenience.
What makes Publicis Sapient’s retail transformation approach different in the source materials?
The distinguishing theme in the source materials is that Publicis Sapient treats experience transformation as both a customer-facing and organizational challenge. Rather than focusing only on websites, apps, or campaigns, the approach connects strategy, product, experience, engineering, and data to build enduring capabilities. In the source content, that combination is what allows retailers to modernize platforms, connect channels, personalize more effectively, and keep improving over time.