Retail POV
Retail & CPG, from the C-suite seat
For retail and CPG executives — Chief Digital Officers, Chief Data Officers, CMOs, and VPs of Transformation. Written from the forward-deployed seat: production AI inside enterprise retail, not slideware about it. Where AI is earning margin, where it's pilot theater, and what your Monday-morning next move is.
Perishables are where your forecasting model gets graded
Center-store errors hide in inventory. Fresh errors show up as waste in days. Perishables are the only honest scoreboard for a demand model.
Every POS upgrade is an AI decision now
Retail scopes POS refreshes as seven-year hardware buys. But the terminal is the data-capture layer every agentic workload depends on. Buy it wrong and you cap your ceiling.
Assortment planning still runs on last year shopper
Assortment decisions describe a customer who already changed. Here is where to inject live signal without turning merchandising into a slot machine.
Your supply chain twin is a slideshow, not a simulation
Most retail digital twins visualize the past. A twin worth the spend runs counterfactuals fast enough to change tomorrow morning.
The clean room is where first-party data goes to die
Clean rooms got sold as the privacy-safe fix for signal loss. In production they add latency, cap match rates, and starve the real-time decisions agentic retail actually needs.
Shrink is a data problem wearing a security costume
Shrink lives with loss prevention, but the variance sits in inventory accuracy, markdown timing, and POS exceptions. It reports to the wrong function.
Dynamic pricing without trust is churn with extra steps
Price optimization can win the transaction and lose the customer. The guardrails that separate durable dynamic pricing from the version shoppers punish.
Returns are a pricing decision you keep making by accident
Your return rate is not a logistics line. It is a signal about price, fit, and copy. Managing it as reverse logistics guarantees you keep paying for a merchandising problem.
Your labor model is the last analog system in the store
Retailers digitized inventory, pricing, and marketing. Store labor still runs on a spreadsheet and a manager's gut. That gap is where service, shrink, and conversion get decided.
Retail media is eating the P&L, and nobody owns it
Retail media now moves enough margin to distort merchandising and pricing, yet it sits inside marketing with no cross-functional owner. That gap is the risk.
The store associate is your best AI training data
Retailers are licensing corpora and buying synthetic data while the highest-signal operational data in the business walks the floor every day, uncaptured.
Your loyalty program is a liability, not an asset
Unredeemed points, stale consent, and no agent-readable profile layer turn loyalty into a balance-sheet obligation and a privacy exposure. Here is the CODN math on rebuild versus retire.
CODN for retail, a worked example
A full Cost of Doing Nothing walk-through for a Tier 2 specialty retailer weighing agentic merchandising, with real numbers and a real decision.
What Walmart's ad business actually teaches
The lesson is not retail media. It is what happens when first-party data becomes a product instead of a byproduct, and why most retailers are copying the wrong layer.
The retail board memo every CIO should write this quarter
Capital markets reward AI announcements, but the P&L lags. Here is the CODN-framed board memo retail CIOs should write before the 2026 budget locks.
Demand forecasting has a signal problem, not a model problem
Retailers keep buying smarter forecasting models to compensate for dirty inputs. The bottleneck is signal quality, not algorithms.
CPG trade promotion is retail's most underused AI workload
CPGs spend up to a quarter of revenue on trade promotion and 72 percent of it loses money. That is the AI workload nobody is prioritizing.
The omnichannel measurement stack that actually closes the loop
Most omnichannel measurement stacks report but never act. Closing the loop needs identity, incrementality, and an action layer that moves spend.
Personalization is back, and worse than before
The personalization vendors that died in 2023 are reborn as agentic. Most of it is the same broken assumptions in a better wrapper.
The CFO's AI question every CDO is failing
There's one question retail CFOs are starting to ask their CDOs about AI investment. Most CDOs aren't ready for it — and the ones who are change the conversation from ROI to CODN.
The $40M data lake nobody asks about anymore
Three years ago every Tier 1 retailer built a data lake. The AI conversation moved on and the lake went quiet. Here's the retrofit the winning retailers are quietly running.