Retail Technology Insights
Articles on ERP modernization, POS and store systems, PIM governance, retail AI readiness, delivery governance, and architecture — published on this site, in industry outlets, and on LinkedIn.
The strongest articles connect a practical executive question to a service, guide, or case study.
Legacy retail systems, modernization sequencing, store-system rollout risk, and technology roadmap decisions.
How the core retail stack fits together: source of truth, platform boundaries, product data, pricing, inventory, and commerce.
Practical controls for AI agents, data readiness, identity, access, auditability, and operating ownership.
Senior technology leadership, board-ready decision support, vendor oversight, and program governance.
Long-form articles written exclusively for this site.
Agentic AI in retail is not another chatbot project. It changes who can act across inventory, pricing, service, merchandising, and store operations. The governance work has to start before pilots scale.
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Companies often replace technology that works fine and leave the system that is quietly bleeding them. A plain-language self-diagnostic for executives before any modernization spend.
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The license number on a vendor proposal is a fraction of the real cost. A plain-language guide for CFOs and CEOs on the cost categories every modernization quote leaves out.
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The build-versus-buy decision is usually made on identity, not economics. A three-question framework executives can use without a technical background, including the third option nobody offers.
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Vendor demos are engineered to mislead. The questions that actually separate vendors, the reference check that yields the truth, and the answers that should worry an executive.
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Modernization programs almost never fail for technical reasons. The four warning signs a board member can spot two quarters before the program admits it is in trouble.
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AI agents inherit whatever data and integration you hand them and remove the people who used to cover the gaps. A four-point readiness check for executives, with a worked example.
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For two years, the pitch was that AI would compress professional services. In May 2026, OpenAI and Anthropic both contradicted that pitch with capital — staffing up forward-deployed engineering units with billions in joint-venture funding. The labs have now admitted what every ERP and PIM operator already knew. The model is the cheap part. The deployment is the budget.
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The most common reason mid-market retail modernization programs fail is that they were never assessed honestly to begin with. A defensible modernization assessment maps current-state platforms, integration dependencies, data governance gaps, and delivery risks — and produces a sequenced roadmap the board can actually act on.
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The most expensive misunderstanding in retail technology right now is the belief that unified commerce is something you buy. The retailers winning at it are not platform-consolidated — they are integration-mature.
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Most organizations don't have an AI problem. They have a cost visibility problem. Token consumption doesn't scale linearly — it compounds. And most enterprises aren't instrumented to track it properly. That changes the moment AI moves from experimentation to operating expense.
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Every enterprise has a process for onboarding a new employee. Background check. Access request. Role-based permissions. Manager approval. Audit trail. Now ask yourself: what is the process for onboarding a new AI agent? In most organizations, the honest answer is that there is no process.
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The industry is focused on agent capabilities — reasoning, tool use, autonomy. But the actual constraint for most enterprises is not the agent. It is the data architecture underneath it. IBM's $11 billion Confluent acquisition and NVIDIA's Agent Toolkit launch tell the same story, and most enterprises are only paying attention to the wrong half.
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Enterprises are deploying AI agents at a pace that has outrun any meaningful governance structure. The pattern mirrors cloud shadow IT — accelerated, and with one critical difference: agents act. Most organizations have no agent control plane, no identity framework, and no policy enforcement layer.
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Most retail technology pilots are not structured to produce learning — they are structured to produce approval. The difference is the difference between a credible business case and a vendor relationship you have to manage for the next three years.
Read article →Features and bylines in CIOReview, Retail Tech Insights, and Samsung Newsroom.
A leadership essay on what it takes to run retail technology at scale — balancing strategic execution with innovation, building empowered lean teams, and positioning technology as a genuine business enabler. Written during Morris's tenure as VP of Retail Systems.
Read articleChampioning an agile approach to retail technology pilots — test in 60–90 days, measure against specific KPIs, and accept 80% confidence to move forward. Includes real examples: switching from Microsoft to Samsung tablets based on associate feedback, and pivoting digital price tag vendors mid-pilot when infrastructure gaps emerged.
Read articleSamsung Newsroom coverage of a connected home retail experience, a flagship demonstration of what the store of the future looks like when digital and physical retail converge. Morris led the retail technology strategy behind the initiative.
Read articleLong-form pieces published on linkedin.com/in/morrisstern.
Retailers in the middle — not luxury, not ultra-value — face existential pressure from both ends. This piece explores why the barbell dynamic is reshaping retail strategy and what leaders can do about it before the squeeze becomes a crisis.
Read on LinkedInEveryone is talking about agentic AI in retail. But adoption without a clear operating model is a fast track to wasted spend and abandoned pilots. This article breaks down the three retailer archetypes that are actually positioned to succeed — and what separates them from the rest.
Read on LinkedInThe debate between centralized platforms and best-of-breed microservices never really ends. This piece cuts through the noise with a practical framework retail leaders can use to evaluate their integration architecture without getting sold to.
Read on LinkedInPatrick Lencioni's 'The Advantage' applied to retail IT leadership — how organizational health principles directly shape whether a technology team ships or just plans to ship.
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