The shopping journey is collapsing into a single conversation.
Half of retail executives expect today’s multi-step shopping journey to collapse into a single AI-driven interaction by 2027. Arrow Ways embeds the commerce, fulfillment, and data engineering talent — and the strategic consulting — to help retailers rebuild for a world where AI, not a search results page, is the front door to the sale.
AI Across Core Functions by 2027
Have Achieved AI Scale
Sales by 2027
AI isn’t just changing marketing. It’s changing who owns the customer relationship.
Four forces — agentic AI replacing search, the value-seeking consumer, unified commerce infrastructure, and a widening gap between AI leaders and laggards — are converging to reset how retailers compete through 2027 and beyond.
AI is on track to replace the search bar as the front door to retail. Nine in ten retail executives expect AI to be increasingly used over search engines by 2026, and half expect today’s multi-step shopping journey to collapse into a single AI-driven interaction by 2027 — with the majority believing this will weaken brand loyalty in favor of value and fit.
Product data is becoming the new storefront. As AI assistants and agentic checkout bypass traditional product pages, retailers need their product and pricing data accurate, structured, and optimized for AI readability, or risk becoming invisible to the customers using these tools to shop.
Value-seeking consumers are reshaping assortment and pricing strategy. The large majority of retailers are expanding value-priced assortments and strengthening private label as the top growth priorities, alongside continued investment in omnichannel experience and loyalty programs.
The gap between AI leaders and laggards is already measurable. Retailers that have achieved scale with AI report meaningfully higher sales and profit than those that haven’t, and by 2027 the large majority of retailers are expected to have scaled AI across logistics, merchandising, marketing, and customer service.
For retailers without in-house commerce and data engineering bench strength, 2027 will separate companies whose products AI assistants can actually find, price, and recommend from those quietly losing the sale before a human ever sees the product.
Four pressures every retailer is planning around right now.
Fragmented Product & Inventory Data
Legacy Commerce Platforms
Fulfillment Complexity
Technical Talent Scarcity
Embedded engineering and consulting from the platform to the store floor.
Arrow Ways places engineers and technical professionals directly inside your teams — under your standards and your name — while advising on the data and platform decisions that determine whether AI initiatives reach customers or stay stuck in pilot.
Embedded engineers building composable, API-first commerce platforms that support personalization, agentic checkout, and unified inventory.
Data engineers who structure and clean product, pricing, and inventory data so it's accurate and discoverable by AI shopping agents.
Supply chain and automation engineers supporting BOPIS, BORIS, same-day delivery, and warehouse automation across the fulfillment network.
Embedded engineers integrating in-store technology — smart fitting rooms, computer vision, POS modernization — into the physical retail experience.
Consulting on omnichannel personalization, loyalty program design, and assortment strategy built for a value-seeking, AI-mediated consumer.
Your team, not a headcount line.
Arrow Ways doesn’t hand off a resume and disappear. Our engineers and technical professionals work inside your org chart, under your brand and operating standards, reporting to your merchandising and technology leads — with Arrow Ways managing recruiting, compliance, and performance behind the scenes.
That structure lets retailers flex specialized technical capacity up or down with peak seasons and platform migrations, without carrying the fixed overhead of a full internal bench.
Built for retailers that can’t afford to be invisible to an AI shopping agent.
Every embedded commerce, data, and fulfillment engineer is vetted for retail domain fluency before ever reaching your team — not screened after a bad placement.
Consulting on AI readiness, personalization strategy, and fulfillment design is delivered by people who have worked inside retail operations, not observed them from a slide deck.
Arrow Ways scales with your peak seasons and platform migrations — adding capacity ahead of a launch and stepping back down without severance exposure or idle bench cost.