Specialists that never sleep and always show their work.
Each agent owns a domain, scans on a schedule, writes up what it found, and proposes what to do.
One generalist can't run a store. A team can. Specialists go deep where a single assistant goes shallow — and because they share what they learn, the whole team gets smarter together.
Live now
Your first hire: the Inventory Forecaster.
It watches stock across your whole catalog on a schedule, flags products as critical or low against thresholds you control, and opens priority-ranked reorder recommendations — every number explained. Velocity-aware stockout projections are in the works. Review its page, accept a reorder, or run a fresh scan.
Inventory Forecaster
liveNordic Hoodie / M
urgent4 units left · reorder 40 units
Oxygen Pro Snowboard
high12 units left · reorder 24 units
Aurora Mug — 4 pack
medium38 units left · reorder 60 units
thresholds you control · priorities · reasoning — every number explained
Also on shift
Seven specialists, live today.
The Inventory Forecaster works alongside six colleagues — each with its own domain, schedule, and page.
Profit Lens
Computes true per-product margins from your costs — profit KPIs and margin signals.
Liquidation Planner
Finds dead stock and proposes bounded clearance discounts you approve.
Bundle Discovery
Mines your orders for products that sell together — real pairs become bought-together suggestions.
Demand Radar
Reads storefront conversations for demand your catalog didn't capture.
Revenue Detective
Decomposes every revenue move into quantified drivers — volume, basket, refunds, mix.
Self-Learning FAQ
Finds the questions that stumped the assistant and drafts the missing FAQ entries for one-click approval.
How an agent works
Scan. Understand. Recommend. Then act, with your nod.
Scan
Reads a fresh, private snapshot of your data — never hammering Shopify.
Understand
Records observations and writes findings to a shared catalog.
Recommend
Opens recommendations you accept or reject — reasoning attached.
Act
Executes approved actions and logs exactly what changed.
They collaborate
Findings the whole team can trust.
When one agent establishes a fact about your store, it’s written once and reused by the others — stamped with who found it and how confident they were.
On your schedule
On a cadence, or on demand.
Agents run on a schedule — nightly, weekly — and on demand when you hit “Run now.” You’re never waiting on a batch.
Autonomy & safety
Recommend first. Earn autonomy later.
Everything starts in recommend mode — the agent suggests, you approve. Independence is then dialled up by area of the store rather than by agent: discounts, triggers, returns, FAQ and eleven more, each with its own level and its own limits. Trusting Lumnya with your FAQ never means trusting it with your refunds.
Did it actually work?
Every action gets marked against reality.
A recommendation you accepted isn't the end of the story. Lumnya goes back afterwards and measures what the action did — from your real data, never from the model's own opinion of itself.
Joining the roster
The next hires are already in training.
Specialists across finance, marketing, product, customer intelligence, and operations — starting with inventory. And the roster keeps growing.
Pricing Optimizer
Watches margins and elasticity, proposes price moves worth making.
Churn-Risk Scorer
Flags the customers most likely to slip away — early enough to act.
Sentiment Pulse
Reads reviews and tickets so you feel the mood without reading them all.
Anomaly Detector
Beyond the Store Watchdog's three alarms: the same treatment for every metric you track.
Executive Summary
Your whole store, briefed like a Monday-morning memo.
Your roster, your priorities
Tell us which specialist would change your week most.
We weigh every request when deciding what ships next.
Private beta
Build your back office, one specialist at a time.
Join the private beta and be first in line when Lumnya opens to your store.