
Purchase order handling fell from about 8 minutes to under a minute, freeing roughly 267 hours a month.
One solution can credit several organizations. The MACH Alliance is excluded from the count.
Three solutions running in production, and what changed.
A shopping assistant that lifted conversion 25%, taken from a split test to all traffic.
Purchase order handling fell from about 8 minutes to under a minute, freeing roughly 267 hours a month.
Campaign setup is 75% faster and coupon generation 99% faster, with no developer involved.
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Purchase order handling fell from about 8 minutes to under a minute, freeing roughly 267 hours a month.

Campaign setup is 75% faster and coupon generation 99% faster, with no developer involved.

Show who authorized an agent-led purchase, and prove it later, from stated intent to payment.

A shopping assistant that lifted conversion 25%, taken from a split test to all traffic.
Shoppers see relevant products from sister brands without being redirected off the site they are on.

A search that finds nothing in stock still ends in an order, with alternates found across nine branches.
Prototyping runs 10 times faster, seven dashboards became one, and developers reclaimed 2 hours a day.

Sales teams answer quote requests in minutes instead of re-keying them, without a volume ceiling set by headcount.

Customers, employees, and buyers reach grounded answers and product decisions by describing what they need.

Merchandisers act on performance questions without leaving their workspace, and nothing the agent proposes applies without approval.
In six weeks, Dr. Martens and Conscia built a prototype on-site shopping assistant for drmartens.com that could search, size, and add to cart.

Counter staff spend less time hunting parts, and fewer searches end with no option offered.

Guided, sourced product recommendations on the storefront, live in under 90 days and owned by the brand end to end.

Gift shoppers who cannot phrase a keyword search get a curated recommendation out of a conversation instead.

Shoppers describe the room they are furnishing and get the right fixture back.

Let shopping agents offer the right incentive without blanket codes that give away margin.

Keep hesitating shoppers by responding in the same session, not in a batch email after they leave.

Nearly five times the parts interchanges, and a complete view of where the company leads the market and where it has gaps.

More than 14,000 products updated in one run, and one of Snag's fastest launches, live in about two weeks.
Order questions and in-policy returns are settled in the chat, and every case that needs judgment reaches a person with the evidence attached.
A stated goal becomes a finished look, so a shopper who cannot phrase a query still gets a usable answer.
Inbound purchase orders are read and routed automatically, with people reviewing only the uncertain ones.
Wholesale buyers place and change orders in plain language, and see the price they will actually pay.

Take a shopper from search to confirmed order in one conversation, personalized from the first message.
Every promoted item is checked against the source of truth, with problems surfacing in minutes, not weeks.

Click-to-delivery fell by more than 50%, with every order routed on live stock and carrier data.

Up to 5x faster order processing than manual entry, with a confidence rate of 99%.
We've had 100,000 customer reviews on our website for years. As part of the MACH AI Exchange at MACH X, we finally made them useful.

The Agent Solutions Hub is a curated collection of real agentic solutions, published by the MACH Alliance as part of the Agent Ecosystem. Every entry carries the problem it addresses, what changed as a result, how it is built, and, where the contributor offers it, the code to go build it yourself.
Put your agentic solution in front of the enterprise leaders who use the hub to decide what to build next. Submissions are open to MACH Alliance Members, Collaborators, or Ambassadors.