What UK shoppers want from delivery, returns and AI in 2026

Delivery has quietly become the most consequential — yet most underinvested part — of the UK online shopping experience. Not the product. Not the price. The promise of when, how, and at what cost a purchase will arrive. UK delivery expectations in 2026 have shifted further and faster than most retailers realize.

Conducted by Savanta in March 2026 for Ingrid, a nationally representative survey of 1,022 UK shoppers makes the case in data. Across delivery expectations, AI-assisted shopping, post-purchase tracking, and returns behavior, the findings point in the same direction: shoppers now evaluate retailers on delivery quality with the same rigor they apply to product quality.

This article unpacks the five themes that emerged from the research, the statistics, generational breakdowns, and commercial implications that matter for anyone making decisions about delivery strategy in the UK market.

Methodology: Savanta Research (P050996), n = 1,022 UK adult retail shoppers, March 2026. Gender split: 49% male, 51% female. Age: Gen Z 18–26 (13%), Millennials 27–42 (28%), Gen X 43–58 (27%), Baby Boomers 59–77 (26%), Silent Gen 78+ (6%). Income: under £30k (55%), £30–74,999 (36%), £75k+ (9%). No weighting applied.

Delivery expectations and purchase decision

One pattern stands out clearly: delivery enters the buying decision far earlier than most retailers expect. 82% of UK shoppers say unexpected delivery costs at checkout make them reconsider their purchase. It's the highest agreement score in the entire survey and a clear signal that delivery pricing transparency is a conversion lever.

As many as 37% of respondents say they have abandoned a cart and bought from a different retailer because of delivery conditions. Another 28% have re-ordered the same product from a different retailer due to delivery, and 20% have switched to a marketplace like Amazon specifically because of more reliable or cheaper delivery.

Product price remains the strongest single purchase driver (58% rank it first, 72% in their top three), but delivery cost enters the top five purchase factors for 69% of shoppers, delivery speed for 57%, and free returns for 41%. These are structural e-commerce delivery concerns, not edge cases.

The loyalty implications are equally direct: 65% say loyalty can be won or lost on the delivery experience, 70% would question their loyalty to a brand that fails on its delivery promise, and 54% say they would not buy from that brand again.

What this means for retailers

Surfacing delivery costs early in the user journey — on product pages and in the checkout flow — protects conversion. The data suggests that every percentage point of delivery cost surprise at checkout translates into measurable cart abandonment. For retailers still hiding shipping costs until the final step, the survey puts a number on the revenue they're leaving behind.

AI-assisted shopping in the mainstream 

More than half of UK shoppers (55%) have already used AI — whether a chatbot, AI search assistant, or AI agent — when searching for or buying products. Adoption is heavily generational: 77% of Gen Z (18–26) and 75% of Millennials (27–42) have used AI when shopping, compared with 55% of Gen X and 29% of Baby Boomers. High-income shoppers (£75k+) are also disproportionately engaged, at 77%.

Yet the headline adoption number matters less than what happens inside the AI experience. Among the 560 survey respondents who have used AI for shopping, delivery information quality surfaces as a direct conversion factor:

• 66% are more likely to purchase if the AI agent can show flexible delivery options;
• 64% are more likely to purchase if the AI shows real-time delivery options;
• 63% are more likely to purchase if the AI offers personalized delivery based on prior purchases;
• 56% would choose a different product if the AI cannot clearly state delivery information;
• 53% would abandon their shopping mission entirely.

Shoppers are also explicit about what they want AI platforms to do better: 75% want AI to update delivery fees based on real-time information, and 75% want delivery options — home, parcel locker, or click-and-collect — updated in real time. The single most-requested AI delivery capability is real-time delivery window options, cited by 51% of respondents.

The commercial impact is already measurable. Across fashion, general retail, health and beauty, and electronics, 34–45% of AI-recommended purchase decisions are influenced by delivery cost or convenience. Delivery data is the variable that decides which retailer gets the sale.

What this means for retailers 

The rise of agentic commerce changes who — or what — evaluates your delivery proposition. When an AI agent compares two retailers selling the same product at the same price, it will choose the one with faster, more reliable, and more clearly structured delivery data. Retailers with a generic "ships in 3–5 business days" message are invisible to this new buying channel. Those with real-time, structured delivery data become the default recommendation.

Branded tracking builds trust more than speed

When shoppers were asked in a forced-choice question what single factor would most improve their delivery experience, speed won: 20.5% chose "fastest delivery possible." Lower cost came second at 18.2%, and "delivery arriving exactly when promised" third at 15.9%.

But when shoppers describe what frustrates them most, accuracy and transparency dominate. 55% cite inaccurate delivery times as their top post-order frustration — the single most common complaint. A further 49% are frustrated by unhelpfully wide delivery windows, 37% dislike having to stay at home waiting for a parcel, and 35% are annoyed by checking tracking multiple times because updates are infrequent.

The implication: failing on accuracy does more damage than failing on speed. A parcel that arrives in four days exactly when promised creates more trust than one that arrives in two days after a vague "by end of week" estimate.

Branded tracking reinforces this. 61% of shoppers prefer to track delivery through the retailer's own website or app rather than being redirected to a carrier. The same proportion say that when a retailer keeps them on its own site for updates, it feels like added value. And 52% say being redirected to a carrier's website makes the experience feel disjointed.

Cadence matters, too: 53% say overly frequent or spammy updates frustrate them. Retailers need to get both the channel and the rhythm right.

Three statistics capture the loyalty mechanism:

• 77% say clear, transparent updates from the brand improve their experience;
• 75% would trust a retailer more if delivery estimates were based on real-time data;
• 74% are more forgiving of delays if kept up to date.

What this means for retailers

The race to offer the fastest delivery is less commercially important than the race to offer the most accurate one. Branded tracking — where the retailer, not the carrier, owns the post-purchase communication — is a trust-building and retention mechanism that directly influences repeat purchase behavior. Retailers investing in real-time delivery promises and branded tracking pages are investing in loyalty infrastructure.

Return friction beats return cost

Returns are normalized — 66% of UK shoppers agree they're simply a normal part of online shopping. But the process is where shoppers get stuck. 54% say they sometimes keep items they don't want because the returns process feels too stressful.

The reasons for returns are instructive. 54% say they return items because the product looked different online than in real life, and 48% use bracketing to find the right fit. The average return window across categories is 6.1–6.6 days, with only 5–6% of returns taking more than 28 days.

Attitudes toward return fees are more nuanced than the industry debate suggests. Only 32% accept that retailers need to charge for returns, but 36% would accept fees more readily if retailers were transparent about what costs are covered. Another 27% think it’s fair to charge higher fees to frequent returners, and 24% want free returns as part of loyalty memberships.

AI emerges as a credible returns-reduction tool: 57% of shoppers would find it helpful if AI flagged before checkout that an item has a high return rate. Another 53% agree that better sizing tools or virtual try-on would reduce their returns. 49% want AI to serve accurate product and sizing information before they buy.

What this means for retailers

The strategic opportunity is making returns less necessary and less stressful. Pre-purchase interventions — better product information, AI-powered sizing, high-return-rate flags — reduce returns at the source. In the post-purchase journey, the fix is process simplification: fewer steps, clear instructions, direct exchanges, and more drop-off options. The goal is to stop shoppers from keeping products they don't want and quietly abandoning the brand.

Loyalty programs and delivery perks

When asked which delivery improvements would most help them, shoppers chose simplicity over sophistication. 54% selected free delivery as a loyalty perk as their top convenience improvement. This outranks personalized delivery fees (30%), discounts for bundled deliveries (30%), dynamic delivery fees based on real-time carrier information (25%), and AI-recommended cheapest delivery options (22%).

The behavioral data supports the preference. 11% of shoppers have joined a membership program purely for delivery benefits — a non-trivial conversion lever. 13% have paid more for the same product to get better delivery, and 10% have chosen a retailer specifically because it offered real-time delivery tracking.

The UK data suggests that shoppers — particularly in a market where 55% of the sample earns under £30,000 — prefer simple, trust-based delivery perks over opaque algorithmic pricing.

What this means for retailers

Free delivery tied to loyalty programs is the single highest-leverage delivery incentive in the UK market. Dynamic pricing for delivery has a role, but retailers need to earn permission for algorithmic pricing through transparency first. Starting with loyalty-linked delivery benefits builds the trust foundation that makes more sophisticated pricing models viable later.

Five things UK retailers should do now

The survey data points to a clear sequence of priorities for e-commerce delivery and returns strategy.

1. Show delivery costs before checkout

The 82% reconsideration rate for unexpected delivery costs is the single largest conversion risk the data identifies and the fastest fix with the highest reward.

2. Invest in delivery accuracy over delivery speed

Shoppers punish inaccuracy more than they reward speed. Real-time delivery promises based on actual carrier performance data, not static estimates, are the trust-building mechanism that drives repeat purchases.

3. Bring post-purchase tracking in-house 

Branded tracking is not a vanity project. 61% of shoppers prefer it, and the data shows it creates a measurable perception of added value. Redirecting shoppers to a carrier's website is a loyalty leak.

4. Simplify the returns process

More than half of shoppers keep items they don't want because the process feels too hard. The intervention is process simplification and better pre-purchase product information.

5. Prepare delivery data for AI agents

With 55% of UK shoppers already using AI when shopping — and 77% of Gen Z — the retailers whose delivery data is structured, real-time, and machine-readable are the ones AI agents recommend. This is not a 2028 priority. It is a 2026 one.

This research was conducted by Savanta (study P050996) in March 2026 on behalf of Ingrid, the delivery intelligence platform. The full data set covers AI adoption in shopping, delivery expectations, post-purchase experience, and returns behavior across 1,022 nationally representative UK shoppers.

To discuss what the data means for your delivery strategy, get in touch with our team →

To read more on the state of returns in the UK, download Return Economics 2026 →