The digital experience is difficult to improve
Search, navigation, content, and conversion experiments move slowly or depend on fragmented teams and data.
AI for omnichannel retail
Make commerce operationsfaster, smarter, and connected.
Improve customer experience and internal workflows across B2B and B2C channels in Mexico and the US—without assuming that your ecommerce platform, ERP, CRM, or WMS must be replaced.
01 / Where value is lost
Omnichannel growth creates
operational friction.
Retailers often have the right platforms but still depend on people to move information, fix inconsistencies, answer repetitive questions, and coordinate exceptions across channels.
Internal processes require too many handoffs
Teams copy information among marketplaces, ERP, CRM, WMS, payment, logistics, marketing, and analytics systems.
Customers wait for useful answers
Product questions, availability, order status, and exceptions compete for support and operations capacity.
Legacy and third-party systems slow change
New customer experiences must coexist with established integrations, business rules, and operational controls.
02 / High-value workflows
Start with the work
customers and teams feel every day.
The first scope is selected for business relevance, feasible access, reviewable quality, and a result that can be demonstrated within one month.
Intelligent search and discovery
Semantic search, guided exploration, recommendations, and merchandising support using approved catalog and behavioral signals.
Content and image workflows
Generate, adapt, translate, and review product content and imagery across markets, channels, formats, and campaign needs.
Shopping assistant
Help B2B and B2C buyers compare products, answer approved questions, and reach a human when judgment or exception handling is needed.
Order follow-up
Unify order, payment, warehouse, and logistics signals to provide clearer status updates and route exceptions faster.
Backend automation
Reduce manual steps in catalog operations, marketplace synchronization, reporting, exception queues, and internal approvals.
Connected experimentation
Improve UI and run controlled A/B tests supported by analytics, marketing automation, and measurable decision criteria.
03 / One-month quick hit
A bounded first result
before a larger commitment.
The AI Iteration Lab starts at MXN $68,000 or USD $4,000 for an approved scope. Travel, paid platforms, data preparation, and production hardening are quoted separately.
Week 1 — Map
Select one customer or internal workflow, establish the baseline, map systems and data, and define the measurable output.
Week 2 — Build
Configure the workflow, agents, user experience, integrations or controlled data, and human review points.
Week 3 — Test
Evaluate usefulness, accuracy, exceptions, response time, permissions, and adoption with representative scenarios.
Week 4 — Decide
Demo the result, compare it with the baseline, document gaps, and recommend whether to iterate, integrate, or scale through a Pod.
04 / Systems and control
Connect the operation
without creating a new black box.
Solutions can integrate with ecommerce platforms, marketplaces, marketing automation, payment, logistics, WABA, analytics, experimentation, ERP, CRM, WMS, legacy systems, and third-party APIs when access and technical feasibility are approved.
Platform-specific support is confirmed during discovery. Customer, payment, messaging, and behavioral data remain governed by the client's permissions, providers, policies, and applicable requirements.
- +Human review for pricing, catalog, financial, and exception decisions
- +No guarantee of sales or conversion uplift
- +No platform or integration compatibility claim before discovery
- +No client names or logos without written authorization
05 / Questions from retail leaders
A practical starting point
for an operating business.
01Do we need to change our ecommerce platform?+
Usually not. We begin by mapping the workflow and integration options around your current platforms, marketplaces, ERP, CRM, WMS, logistics, payments, WABA, marketing, and analytics stack.
02Can you support Mexico and US operations?+
Yes. The offer is designed for B2B and B2C workflows operating across Mexico and the US. Language, channel, data, provider, tax, and operational differences are defined in the scope.
03What can realistically be delivered in one month?+
One bounded quick hit: for example, a search experience, product-content workflow, shopping assistant, order-status workflow, backend automation, or measurable UI experiment. Larger production programs require additional iterations or a Pod.
04Is on-site discovery available?+
Yes. Workshops are available in Monterrey, Mexico City, and Guadalajara. Travel and on-site terms are confirmed with the scope.
05How much does the first Lab cost?+
A bounded one-month AI Iteration Lab starts at MXN $68,000 or USD $4,000. Final scope depends on systems, access, data, integrations, travel, and production requirements.
06 / Start with a quick hit
Bring one commerce workflow.
See a result in one month.
Book a focused session with Adrian to identify the best first workflow, baseline, system access, and reviewable outcome.