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Read articleRetail growth is becoming a competition for customer economics rather than simply traffic as consumers move fluidly between stores, digital channels and value alternatives
We see retailers balancing affordability and convenience with inventory productivity, private-label growth, loyalty and new monetization opportunities across physical and digital commerce.
Retail enters September 2026 with consumers still highly attentive to price while channel boundaries continue to blur. Stores remain important for discovery, service and fulfillment even as digital purchasing and AI-assisted shopping change how products are found and compared. Private labels and alternative value propositions are stronger across many categories, while loyalty data and retail media create revenue pools beyond traditional merchandise margin. Retailers therefore need to manage customer value, inventory and channel economics as one system. Growth that increases transactions but worsens fulfillment cost, promotional dependency or working capital can weaken rather than strengthen the underlying model.
Focus
Retail is entering the age of value-seeking consumers and AI-mediated shopping
Price sensitivity remains structural while AI agents begin to influence product discovery, comparison and digital purchasing behavior.
Read nowStrategic Challenges
Who owns customer choice when an AI agent shops before the customer does?
The challenge is preserving differentiation when machines increasingly compare price, availability and product information across retailers.
Read nowStrategic Impacts
AI-mediated commerce could change how retailers compete for consideration
Machine-readable product data, value clarity and fulfillment performance may matter more as digital agents influence purchase decisions.
Read nowObserved Patterns
Retailers often optimize the website while the discovery layer moves somewhere else
AI assistants can influence consideration before shoppers reach a retailer, reducing the strategic value of owning the interface alone.
Read nowStrategic Challenges
Who owns customer choice when an AI agent shops before the customer does?
The challenge is preserving differentiation when machines increasingly compare price, availability and product information across retailers.
Read nowStrategic Impacts
AI-mediated commerce could change how retailers compete for consideration
Machine-readable product data, value clarity and fulfillment performance may matter more as digital agents influence purchase decisions.
Read nowObserved Patterns
Retailers often optimize the website while the discovery layer moves somewhere else
AI assistants can influence consideration before shoppers reach a retailer, reducing the strategic value of owning the interface alone.
Read nowIndustry Challenge
Retailers must deliver value, convenience and personalization without losing margin
Retailers face consumers who remain highly value conscious while simultaneously expecting faster fulfillment, seamless channels and more personalized experiences. Private label is gaining credibility, trade policy is raising sourcing costs and digital acquisition remains expensive. The challenge is to improve the customer proposition without adding complexity that erodes profitability. Retailers need tighter assortment, pricing and promotion discipline, more resilient supply networks and a clearer role for stores in an omnichannel model. Cost and experience must be designed together.
Future Outlook
AI agents could become a new gateway to retail demand and customer relationships
The future of retail will be shaped by AI-assisted discovery and purchasing, more automated operations and richer loyalty ecosystems. If consumers increasingly delegate comparison and transaction decisions to AI agents, retailers will need product data, pricing and fulfillment systems that can compete for machine-mediated demand as well as human attention. Stores will remain important but will become more integrated with digital fulfillment and experience. Retailers that combine proprietary customer data, strong private label, responsive supply chains and AI-enabled personalization.
Market Outlook
Retail growth remains selective as value seeking and private label gain momentum
Retail markets remain resilient but demanding in 2026. Consumers continue to prioritize value after years of cumulative price increases, supporting private-label adoption and sharper price comparison. Retailers are responding with value assortments, loyalty programs, omnichannel investment and AI-enabled personalization, while global trade policies are expected to increase sourcing costs. E-commerce remains structurally important, but physical stores continue to play a central role in fulfillment and experience. Market share is increasingly shifting toward retailers with stronger execution.
POV
Retail may soon compete for machine preference as well as human preference
If agents increasingly shortlist products, retailers will need to be legible and compelling to algorithms before the shopper ever arrives.
Read nowOur approach
Understand retail through the complete economics of customer demand, merchandise, channels and inventory
Our approach� connects customer behavior with assortment, pricing, promotion, sourcing, inventory, stores, digital channels and fulfillment. We examine how each element affects contribution economics rather than optimizing traffic or revenue independently. Customer segments and categories are separated because convenience, value and service expectations can produce very different channel economics. We also assess loyalty, retail media and AI-enabled discovery as potential changes to the revenue model itself. This creates a basis for deciding where stores, digital experiences, private label or new services can strengthen customer value and returns simultaneously.
The data and estimates presented are indicative and intended for illustrative purposes. Actual outcomes may vary based on each company’s specific context, market conditions, operating model, implementation choices, and the quality and consistency of execution, including actions undertaken by the client.
Keypillars
Explore the key pillars that define this capability and shape how we create focused, measurable business impact.
Retail economics
Examines sales density, gross margin, inventory, labor, occupancy, and customer acquisition across physical and digital retail models
Commerce systems
Connects merchandising, stores, e-commerce, marketplaces, fulfillment, pricing, and customer experience across retail ecosystems
Consumer shifts
Tracks channel migration, value sensitivity, loyalty, personalization, and changing shopper behavior across categories and markets
Can your retail model stay relevant as customers continuously redefine where, how and why they buy?
Get in touch with our Retail and consumer commerce team to address demand, channel, format and operating challenges across the industry.
Get in touchStrategic Framework
Explore our Strategic Framework
Autonomous AI agents are changing how work is executed, enabling adaptive processes that respond intelligently to changing conditions instead of following predefined rules.
Discover our framework01. Map commerce
Assess consumers, categories, formats, channels, locations, digital journeys, competitors, and retail economics
06. Track activity
Monitor sales, traffic, conversion, basket, promotions, channel mix, share, and competitor behavior
05. Define growth
Prioritize formats, channels, assortment, pricing, footprint, loyalty, and customer-experience choices
02. Trace behavior
Examine spending, traffic, channel migration, promotions, convenience, loyalty, and changing consumer expectations
03. Assess position
Evaluate format portfolio, assortment, pricing, stores, digital channels, loyalty, margins, and customer reach
04. Model demand
Test consumer spending, inflation, channel shift, pricing, traffic, and category scenarios
How we help
Support retailers in building stronger customer and merchandise economics as channels, value expectations and new revenue pools continue to converge
We help retail businesses assess customer segments, categories and formats; refine pricing, assortment and private-label choices; and understand the economics of stores, digital channels and fulfillment. Support can extend to growth strategy, network and portfolio decisions, loyalty, retail media, operating-model transformation, productivity and M&A. We connect commercial and operational choices so growth is evaluated through contribution, inventory and customer value rather than revenue or market share alone.
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Retail growth strategy
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Store network strategy
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Retail format strategy
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Retail assortment strategy
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Retail pricing strategy
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Promotion effectiveness
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Retail merchandising strategy
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Store productivity
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Retail labor optimization
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Retail inventory optimization
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Omnichannel retail strategy
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E-commerce growth
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Retail media strategy
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Marketplace strategy
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Private label strategy
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Retail loyalty strategy
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Retail customer segmentation
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Retail supply chain transformation
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Retail AI adoption
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Retail shrink reduction
Explore our FAQs
Find answers to the most common questions about this service, including key features, processes, and practical considerations. Explore our FAQs for additional insights and guidance.
Channel shifts, value sensitivity, labor costs and changing consumer behavior are altering store productivity and customer acquisition economics.
Assess stores as sales, service and fulfillment assets rather than evaluating them only through direct in-store revenue.
Inventory, fulfillment and returns can add substantial cost when channel convenience grows faster than operating integration.
Adjust assortment, pricing and proposition based on observed trade-offs customers make between price, quality and convenience.
When location economics and customer behavior indicate that existing coverage no longer supports attractive network-level returns.
Compare incremental demand with fees, customer ownership, pricing control and potential conflict with direct channels.
Customer relevance, repeat demand, productive channels and disciplined inventory economics matter more than footprint or sales growth alone.
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