What it actually takes to ship a production AI agent in 2026
Beyond the demo. The five engineering disciplines that separate AI agents you put in front of customers from the ones that stay in dev forever.
Read the full post →The technology and process challenges that come up in nearly every engagement we run in this industry.
Most TPM systems treat trade promotion as a forecasting exercise. Knowing actual ROI requires connecting trade spend to sell-through.
Joint business plans with retailers should be living documents. Most live in PowerPoint and Excel and get forgotten by Q2.
Brands selling DTC and wholesale rarely have one view of a customer who buys both. The opportunity in unifying these is significant.
Knowing what is actually happening at retail — planogram compliance, out-of-stocks, promo execution — is a real operational problem.
DTC subscription businesses face churn, dunning, and lifecycle complexity that off-the-shelf commerce platforms handle poorly.
Loyalty programs often live in their own data silo — separate from CRM, separate from commerce, and separate from real attribution.
Full implementations including account planning, JBPs, trade promotion management, and retail execution mobility.
Trade promotion ROI measurement integrating syndicated data, retailer POS, and trade spend visibility.
Unified customer profiles across DTC, wholesale, retailer data, marketing tools, and loyalty programs — properly modeled and queryable.
Production AI workflows for demand forecasting, planogram optimization, content generation, and personalization.
Subscription lifecycle management — pause/resume, churn intervention, dunning automation, gift subscriptions, and bundling.
Loyalty program data integrated into CRM and CDP so loyalty status, points, and behavior drive personalization across every channel.
Compliance is not a separate workstream — it is embedded in every workflow we deliver. The major frameworks we work within:
Cardholder data environment scoping, tokenization workflows, and audit-ready compliance evidence.
Privacy preference management, data subject request workflows, and consent lifecycle management.
Marketing consent tracking, suppression list management, and channel-specific opt-in evidence.
Influencer disclosure tracking, sponsored content evidence, and review authenticity workflows.
Product registration, recall workflows, and customer safety communication infrastructure.
Multi-state sales tax nexus tracking, marketplace facilitator handling, and economic nexus monitoring.
Each category represents a deep specialization with dedicated playbooks, accelerators, and experienced practitioners.
JBPs, retail account planning, trade promo ROI measurement, and execution tracking.
DTC commerce platforms, subscription lifecycle, and personalization infrastructure.
CDP architecture bringing DTC, wholesale, retailer data, and loyalty into one profile.
Field sales mobility, retail visit execution, planogram compliance, and store-level reporting.
Sell-through-based demand forecasting and channel performance analytics.
Our team carries hands-on experience across the systems your firm already runs. Integration is rarely the bottleneck.
A few examples of how these capabilities show up in practice — drawn from recent and active engagements (client names anonymized where appropriate).
Implemented Salesforce Consumer Goods Cloud with structured JBP templates, account planning, retail visit execution, and trade promotion management for Walmart, Costco, and Kroger accounts. JBP cycle time cut in half.
Built a customer data platform bringing together Shopify DTC, Amazon Seller Central, wholesale retailer data, and Klaviyo into one unified customer view. Enabled the first cross-channel attribution model the brand had ever had.
Integrated TPM with IRI syndicated data and retailer POS feeds for true sell-through-based ROI measurement. Identified that 22% of trade spend was generating negative ROI — and shifted budget accordingly.
Replaced a homegrown subscription system with a Salesforce Commerce + Subscription Management deployment. Subscriber churn down 18% in year one.
Unified loyalty across 4 brands and 3 channels into a single customer profile. Personalization driven by loyalty data lifted email engagement 34%.
From short diagnostics to fractional leadership, every engagement model is designed around the client's stage and needs.
CG and retail-specific assessments across channel, DTC, and customer data architecture.
Defined projects for CG Cloud, Commerce Cloud, CDP, or subscription platforms.
Ongoing administration and seasonal scaling support for retail and CG brands.
Senior commerce technology leadership for growing DTC and CG brands.
Engagements are measured by movement on the numbers that matter. These are the directions of travel we commit to.
Every engagement leverages reusable assets — frameworks, blueprints, and diagnostics built up over hundreds of client projects.
A reference design for connecting commerce, marketing, service, and POS into a single customer record using Data Cloud or equivalent CDP.
Our framework for orchestrating welcome series, replenishment, win-back, and VIP journeys across email, SMS, push, and in-app.
A blueprint for loyalty programs that connect to commerce, marketing, and service — not the bolt-on point system most retailers end up with.
A framework for turning customer service from a cost center into a retention and upsell engine.
How modern retailers and DTC brands are deploying AI across commerce, marketing, service, and supply chain to lift LTV and recover attribution clarity.
A deep look at AI deployment patterns in retail and consumer goods — personalization, customer intelligence, service deflection, and post-cookie attribution — with reference architectures drawn from real DTC and omnichannel implementations.
Practitioner-level analysis from the consultants delivering the work.
Beyond the demo. The five engineering disciplines that separate AI agents you put in front of customers from the ones that stay in dev forever.
Read the full post →Connect the systems that run your business — CRM, ERP, billing, data, AI, analytics — into one cohesive architecture.
Learn more →Custom applications, platform extensions, integrations, and engineered solutions built when off-the-shelf software won't fit.
Learn more →Strategic guidance from certified architects plus production AI deployments. System selection, roadmaps, audits, Agentforce, custom agents, and AI strategy — all under one practice.
Learn more →Align marketing, sales, and customer success into one revenue engine. Process, forecasting, attribution, and tech-stack optimization.
Learn more →Free 30-minute strategy session with one of our consultants who knows your industry.
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