Agent-compatible commerce and booking interfaces
When an AI agent chooses for a customer, we make your catalogue, prices and booking terms readable to it: agentic commerce for groups in Bahrain, the UAE, Qatar, Saudi Arabia, Oman and Kuwait.
What we do
We open your catalogue, live prices, availability, delivery options, booking slots and terms of sale to the AI agents that choose for your customers.
What you get
- An agent-readiness review of catalogue, price, availability and terms.
- A structured catalogue specification, with attributes and rules for completeness.
- An interface design that sets what agents can read and request, and where the policy stops them.
- A commitment policy: which requests need a person, which a rule accepts, and the limits.
- A test plan that checks answers against your real catalogue, with an exception log.
- A board paper on the group's position toward agent-led channels.
What changes
- More catalogue items carry every attribute an agent needs.
- Price and availability agree across your site and the marketplaces.
- Every agent request is logged.
- Commitments made in the group's name match the approved policy, and each one is checked against it.
- A catalogue change reaches agents sooner, measured as time from the change to its being readable.
The problem we solve
An agent ranking on price, delivery time and rating does not scan a sponsored list. Where the group's catalogue is incomplete or its terms are ambiguous, the agent skips it, and a platform that holds the agent decides the terms. The group learns of the loss only when orders thin out.
Signs you need it
- Your catalogue has gaps in attributes such as size, origin, allergens or delivery windows.
- Prices and availability differ between your site and the marketplaces.
- Booking terms exist only as text a person has to interpret.
- A platform has offered to make your menu or range available to its assistant.
- The board has no position on agents buying from the group.
Who it is for
Retailers, restaurant and grocery groups, delivery operators and service businesses preparing for customers who ask an assistant to choose for them, and boards that want to decide the terms before others write them.
Why At Par
Qasim Abbas is the author of Moneyball Finance, research on how Gulf commerce changes as AI agents begin to choose for customers, including what agents do to platform advertising and listing fees. We apply that research to your catalogue and terms, so the group writes the rules for agents before a platform writes them for it.
How we work
We work on the commerce platform, order system and booking tools the group runs, and on each channel where agents buy for your customers. See how fees work.
Questions boards ask
- What does the group hold at the end?
- A board paper on the group's position toward agent-led channels, a structured catalogue specification and the commitment policy for agent requests.
- What does the test show?
- Agent answers checked one by one against your real catalogue, with an exception log that lists every gap an agent would meet.
- Which channels does it cover?
- Your own site, the marketplaces you sell through and each channel where agents buy for your customers.
The next step
Bring your catalogue and the platforms you sell through to a private briefing. We show what is ready for agents and what is missing.
Related
- AI-assisted order intake and classificationAI-assisted reading and sorting of incoming orders, ready to enter the system.
- Yelo e-commerce and marketplace setupYelo configured on your account as a storefront or marketplace, with catalogue, checkout, delivery and commission rules.
- Technology assessments for boardsA board paper on what to keep, change or buy, scored against written criteria.
Bring last month. Leave with a score.
Sit down with Qasim Abbas. One table, your numbers, and a clear read on where you stand against par.