
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.
Showing all 73

Purchase order handling fell from about 8 minutes to under a minute, freeing roughly 267 hours a month.

Make products easier to find, compare, and buy by completing the catalog details that search engines and AI assistants need.

Answer a supply disruption with a cited list of compliant alternative suppliers, while the ERP stays in place.

Catalog teams manage their product data in plain language, and nothing changes without their approval.

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.

Shoppers who engaged converted 35.2% higher over Black Friday weekend, with revenue per visit up 39.8%.

A search that finds nothing in stock still ends in an order, with alternates found across nine branches.

The conversational agent returned 13x ROI, and an AI-timed birthday SMS flow returned 25x.
Prototyping runs 10 times faster, seven dashboards became one, and developers reclaimed 2 hours a day.

Four recurring workflows run against the live store, lifting conversion from 0.8% to 1.1% in 30 days.

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.

A retailer with no developers shipped six or more changes in weeks, work that had sat in an agency queue.
Migration mapping that ran 6 to 9 months now finishes in hours, with the write-up produced alongside.
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.
City-break shoppers see every hotel on a map next to the points of interest they care about, with walking routes and what guests say.
Copyright claims are classified against past cases in seconds instead of days, with an analyst deciding.
Content operations for more than 16,000 users across multiple agencies, with 90% of metadata creation automated.

Stop marketing emails from promoting products a shopper cannot buy in their size.

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

Media teams run bulk library work in plain language, and nothing sensitive changes without their approval.
Product recommendations arrive with a reason a shopper can read, not only a score.

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.

Call to action clicks rose 274% and lead conversions 190%, with more configurations completed.

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

100 product descriptions in 30 minutes, against 100 a day by hand.
Buyer and supplier agents from four organizations settle real commercial terms with nobody in the middle.

Product and content teams delegate catalog-wide enrichment and copy to a governed agent team instead of working SKU by SKU.

Broken integrations surface where the team already works, and are fixed without opening the platform.

One assistant replaced search and support across three business units, raising click-through 14%.

In one quarter the agents flagged more than 40% of orders as likely hit by supplier delays and priced over $3M of related cost.

Campaign launch time fell about 75%, with 15% more conversions than the ads already running.

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

A written integration specification becomes working flows and mappings in days.

Support answers arrive inside the product, so integration teams stop leaving their work to search three sources or wait on a ticket.

Every integration flow gets documentation written from its actual configuration, not from memory.

Integration teams learn why a flow failed, and get a remediation proposed, without reading run logs themselves.

Integration builds start from a generated, reviewable flow instead of hand-configured connectors and mappings.

Integrations move off an older platform from an export file instead of a manual reverse-engineering and rebuild.

Stock moves to where demand actually is, cutting stockouts and lost sales across four stores.

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

Products stay eligible, competitive, and actionable when an AI shopping agent does the researching, comparing, and buying.

Shoppers get answers about a product, in their own language, without leaving the page they are on.

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

Manual extraction and reconciliation fall from weeks to days, and days to hours.

Every completed load invoices itself from its own paperwork, at 10,000 to 15,000 bills of lading a month in production.

The initial deployment identified a multi-million-dollar revenue recovery opportunity across about 5% of North American locations.

Field associates find and correct shelf problems on the first visit, and every visit leaves an auditable record for the brands served.

More than 14,000 products updated in one run, and one of Snag's fastest launches, live in about two weeks.
Demo catalogs that took days of sourcing arrive in minutes, with imagery and a mapping into the target system.
Order questions and in-policy returns are settled in the chat, and every case that needs judgment reaches a person with the evidence attached.
Shoppers get an answer on the product page in under a second, grounded in documents the brand controls.
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.

A merchant payment journey is assessed end to end with evidence, and without a questionnaire.

About 21% higher watch engagement against a holdout group, and open rates up about 40%.
Wholesale buyers place and change orders in plain language, and see the price they will actually pay.

Run more personalized loyalty campaigns without the build time that personalization usually costs.

Campaigns that took 4 to 6 weeks now go live in days, with personalized variants up from one or two to more than 20.

Add to cart rose nearly tenfold among engaged shoppers, measured against a control group.

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.

Agentic-driven self-service analytics, AI-built dashboards, natural language querying and AI-enabled exception reporting. From manual to automated insights.

Up to 5x faster order processing than manual entry, with a confidence rate of 99%.
Golfers describe a trip in their own words and get resorts ranked on what similar groups actually booked, with the reasons shown.
Every sales email arrives sorted and answered in draft, checked against the company's terms, ready for a salesperson to approve.

Merchants launch customizable products by describing them, and shoppers design a product without learning a tool.
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.