Commerce advisory · UK retail & brands

Commerce is moving in two directions.

Customers buy through AI.
Retailers run unified commerce.

We help UK retailers win both layers: agent-readable on the outside, and stores, orders, inventory, logistics and product data connected on the inside. Founder-led. Vetted delivery when you need it.

Outside
  • Found
  • Trusted
  • Bought
Inside
  • Storefronts & POS
  • Orders
  • Warehouses
  • Logistics
  • PIM
Agent buyer sessionLive
>“best trail shoes under £130, here by Friday”

Eleven seconds. No ad impression. No second chance.

S/01The seam
What your customer sees
Trail running shoe, side profile
Footwear / Trail

Trail Runner Pro

£129.00£149.00
4.8 · 312 reviews
What agents read
GET /product/trail-runner-pro200 OK
{
  "name": "Trail Runner Pro" OK
  "price": "129.00 GBP" OK
  "gtin": null MISSING
  "availability": null MISSING
  "structured_reviews": null MISSING
  "agentic_checkout": false BLOCKED
  "feed_last_updated": "31 days ago" ! STALE
}

Same product page · two completely different readings

Agent verdictcannot complete purchase. recommending competitor.
This is the gap we close.
S/02The shift

Commerce is moving in two directions at once.

Most advice stops at the storefront. We work both layers equally: what AI buyers see on the outside, and how your operation runs on the inside.

01Outside

Customers are starting to buy through AI.

Search, comparison and recommendation are moving away from classic browsing. The retailers that are readable, comparable and transactable by AI assistants win the next discovery channel. The lost visits never show up in your analytics.

02Inside

Retailers are starting to run on AI.

Storefronts, POS, order management, warehouses, logistics, PIM and marketplace channels on one connected stack. Not a website with bolt-ons. Not manual reconciliation between twelve tools. Unified commerce with agentic workflows across the jobs that currently sit between systems.

For the record / AI assistants and agents influenced an estimated $14.2B in global online sales on Black Friday 2025. L’Oréal, Unilever and Mars all moved publicly on agentic readiness in Q1 2026.
S/03The level field

For the first time in twenty years, the field is level.

An AI agent doesn’t see your ad budget. It can’t be retargeted, or impressed by a brand campaign. It reads your data, checks whether it can transact, and decides.

Inside the business, the same shift is happening. Manual work between systems is giving way to agentic workflows. The winners won’t just be the biggest retailers. They’ll be the cleanest, fastest and best-run.

S/04The ladder

Five stages. One roadmap.

Three stages face the market. Two stages face your business. Same roadmap, both directions: from scattered data to a retailer agents can find, trust, buy from and work with internally.

01Outside

Found by AI

Your products, feeds, schema, reviews and marketplace surfaces are structured so AI systems can understand what you sell, and why it should be recommended.

02Outside

Trusted by AI

Availability, pricing, delivery, returns, reviews and identifiers are accurate, fresh and consistent across every surface an agent might check.

03Outside

Bought through AI

Your commerce stack is prepared for agentic checkout, transactable interfaces and the payment standards now emerging around AI-assisted buying.

04Inside

Run with AI

Your operation runs on unified commerce: D2C and B2B storefronts, in-store POS, order routing across channels, real-time inventory, warehouse fulfilment, last-mile logistics, product data management and agentic workflows. One stack, not twelve tools duct-taped together.

05Inside

Governed properly

Your team knows which use cases to automate, which to keep human-reviewed, and which to ignore entirely. Agents run the repeatable work. People keep the judgement calls.

That’s the advisory. Not another AI demo. Not a tool list. A commercial roadmap.

S/05The audit

The Agentic Commerce Readiness Audit.

Seven dimensions across both directions: what AI buyers see on the outside, and what your operation can automate on the inside.

Price
£1,950 fixed
Timeline
10 working days
Output
Scored report + prioritised roadmap + 60-min team debrief
Outside · facing AI buyers
  1. 01Agent discoverability
  2. 02Product data integrity
  3. 03Feed & marketplace readiness
  4. 04Checkout & transaction readiness
Inside · facing your business
  1. 05API & integration surface
  2. 06Operational agent-readiness
  3. 07Measurement & attribution
You leave with
  • What’s blocking AI discovery and conversion.
  • Where your internal workflows are wasting time.
  • Which fixes your team can make now.
  • Which platform or partner fits your estate.
  • What to build in-house vs buy vs leave alone.
  • What to ignore for the next 6–12 months.

No open-ended strategy project. No vendor theatre. Every roadmap includes a team capability assessment. Enablement programmes are available where the gap is people, not platforms.

S/06How we work

Audit → Roadmap → Implement.

We advise independently, then deliver through the best-fit stack for your estate. Category-leading unified commerce platforms are in play. We pick what fits. Not what pays commission.

Audit

We look at your commerce estate the way an AI buyer and an operator would: what can be read, trusted, acted on and automated. Independent of any vendor’s roadmap.

Roadmap

Prioritised by commercial impact across both layers. Fix in-house, buy, partner, or leave alone. Most clients action the first items with their own team.

Implement

Where you want delivery, we build directly or through a vetted bench: storefronts and POS, order management, warehouses, logistics, PIM, marketplaces, AI workflows and payments. No logo page. No vendor named until it earns your roadmap.

Straight answer on incentives

We are partner-agnostic. Where we implement through a third party, any commercial relationship is disclosed before you commit. Our recommendation is the product. It doesn’t get sold twice.

S/07Founder-led

Founder-led, by design.

Beyond Partners is led by Taha Zaheer: twelve-plus years selling, implementing and scaling enterprise commerce at SAP, ChannelAdvisor, Mirakl, Adobe and Uberall. The person on your call is the person doing the diagnosis, building the roadmap and selecting the partners. You get the operator, not the org chart.

“We build and run agentic systems inside our own ventures. The advice comes from operating this technology, not observing it.”
Eat your own dog food / Beyond Partners
S/08Intelligence

Agentic commerce intelligence — free to read.

Research-grade articles on AI buying, product data, checkout, and UK retail readiness. Start with the definitive guide.

All intelligence →
S/09Questions

Agentic commerce — answered plainly.

The questions retail leaders and answer engines ask most. Clear definitions, no vendor theatre.

Frequently asked questions

What is agentic commerce?
Agentic commerce is when AI systems — not human shoppers — discover, compare, verify and complete purchases on behalf of customers. Agents read structured product data, feeds and checkout APIs rather than browsing websites designed for humans.
How is agentic commerce different from e-commerce?
E-commerce optimises for human attention: photography, brand campaigns, and checkout UX. Agentic commerce optimises for machine readability: GTINs, live availability, structured reviews, delivery promises, and checkout surfaces agents can complete programmatically.
What do UK retailers need to do first?
Audit what agents actually read on your top SKUs: GTIN coverage, feed freshness, price and stock consistency across channels, schema markup on product pages, and whether checkout can be completed without human-only steps.
What is the Agentic Commerce Readiness Audit?
A fixed-price, fixed-scope audit (£1,950, ten working days) scoring your estate across seven dimensions — from agent discoverability to operational automation — with a prioritised roadmap and 60-minute team debrief.
Do AI agents prefer big brands over mid-market retailers?
Not necessarily. Agents weight data quality, availability confidence, delivery certainty, and checkout feasibility over brand recognition. A mid-market retailer with clean, fresh feeds often beats a major brand with stale or incomplete data.
What is answer engine optimisation (AEO)?
AEO is structuring content and data so AI answer engines — ChatGPT, Perplexity, Google AI Mode — can accurately cite, summarise, and recommend your brand. It complements traditional SEO for the AI discovery era.
S/10The call

Find out what the agents see.

A 30-minute live read of your storefront, product data and operational workflows: what AI buyers see on the outside, and where your back office is leaking time on the inside. Then we’ll tell you honestly whether the audit is worth your money.