TechHive
“They didn't need retail explained to them.”
We don’t sell transformation theatre. We make retail technology work.
TechHive Perspectives is where our own specialists share how we think. And Retail Insights is where we round up the data and trends shaping the industry right now.
Beyond the hype, a handful of agentic AI patterns are already earning their place in retail operations — from autonomous replenishment triggers to self-correcting pricing checks. Here's what we're seeing hold up in production, and what's still marketing.
Retailers keep adding platforms and keep losing visibility. We look at why the next wave of retail technology will be judged less on features and more on how little it asks teams to manage.
A plain-language look at what retail analytics actually covers — from customer behaviour to inventory and pricing — and why it's moved from a nice-to-have to a board-level priority.
Most inventory visibility problems aren't caused by missing data — they're caused by data that never talks to itself. A practical look at where visibility breaks down and what actually fixes it.
A roundup of the retail analytics applications delivering the clearest returns right now, from markdown optimisation to churn prediction — and where each one tends to trip retailers up.
Statistical models, machine learning and hybrid approaches all promise better forecasts. We break down where each method genuinely earns its keep — and where it just adds complexity.
From chat-based customer service to demand sensing, this is a working map of how AI is actually being used in retail today — not the version sold in keynote slides.
Generative AI in retail has moved past product descriptions and support scripts. A look at the less obvious use cases — from planogram drafts to synthetic test data — quietly gaining traction.
A snapshot of where retail AI investment is actually heading in 2026 — which trends are gaining real budget, and which are still stuck at the pilot stage.
Most churn models are built on transaction history alone and miss the operational signals that actually predict drop-off. A look at what loyalty data is still going unused — and why.
From real-time offer engines to privacy-first segmentation, personalization is shifting fast. A roundup of the approaches gaining real traction versus the ones still stuck in pilot.
Every point solution solves one problem and quietly creates three integration ones. Why the real cost of a fragmented stack shows up months after go-live, not at purchase.
A plain-language breakdown of headless architecture, who actually benefits from it, and the signs that your current platform is the real constraint — not your front end.
Composability promises flexibility, but it can just as easily multiply integration debt if adopted without discipline. Where the pattern genuinely pays off, and where it doesn't.
Beyond the dashboards, a look at which supply chain visibility tools are moving past pilot stage this year — and what's driving adoption in warehousing and logistics teams.
Governance often means a policy document nobody reads. Here's what it looks like when it's actually built into the pipeline — and why that's the only version that sticks.
A look at where retail security incidents are actually originating — and why point-of-sale and third-party integrations remain the most common entry points.
The gap between a working prototype and a production AI system is mostly operational, not technical. What separates the pilots that ship from the ones that quietly stall.
Legacy point-of-sale systems are ageing out faster than replacement budgets allow. A snapshot of how mid-size retailers are sequencing modernisation without a full rip-and-replace.
The build-vs-buy question rarely has a clean answer once you factor in integration cost and team capacity. A framework for making the call without defaulting to habit.
Cloud migrations in retail tend to fail on sequencing, not technology. The recurring mistakes we keep seeing — and the order of operations that avoids most of them.
Most omnichannel inventory problems trace back to process ownership, not system capability. Why fixing the data model rarely fixes the actual stock-visibility gap.
A practical look at what a CDP actually does day to day, who should own it inside a retail organisation, and where it tends to overlap with tools teams already have.
Not all technical debt is worth paying down. A look at how we prioritise which legacy retail systems get refactored, replaced, or left alone — and why.
Scheduling, task management and frontline communication tools are quietly being modernised across retail. A look at what's actually improving store-level operations.
Security is still treated as a final review step on too many retail projects. Why building it into the architecture from day one is cheaper than fixing it after launch.
Regulatory pressure is pushing sustainability reporting from spreadsheets into dedicated platforms. A look at what retailers are adopting and why the data quality problem remains.
Fraud detection models are only as good as the signals feeding them. Where machine learning is meaningfully reducing false positives in retail — and where it's still catching up.
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