One feed for every alert that matters
An outdoor retailer's ops director triaged alerts across five channels. Solya gave her one prioritised feed — and 20 minutes back every Monday.
Outcome
5 sources → 1 feed
Network
11 stores · outdoor
Measured outcomes
5 → 1
Alert sources unified into one feed
+40%
High-impact alerts acted on within 24h
20 min
Reclaimed every Monday morning
What's wired up
Systems connected
Buying & warehouse systems
Margin & stock alerts
E-commerce platform
Out-of-stock signals
Slack & email
Store & supplier notices
Before · After
Before
Five channels, none talking
The operations director got alerts from email, Slack, the buying tool, the warehouse system and the e-commerce platform. No source was wrong, but none talked to the others — so she triaged by which channel pinged loudest.
After
One prioritised morning feed
Solya pulls every alert into one layer, auto-tags it with type, severity, source and impact, then ranks by expected effect on revenue, margin or stock cover. Mondays start with a list of ten things to act on, ordered by impact.
The challenge
The operations director received alerts from five sources. Email carried supplier notices, Slack carried store managers, the buying tool flagged margin, the warehouse system flagged stockouts, and the e-commerce platform flagged out-of-stock SKUs.
No source was wrong; no source talked to the others. Every Monday started with twenty minutes of switching tabs just to know what mattered. By 10am the urgent had usually lost to the loud.
Each system had legitimate alerting, but together they were noise. She triaged by which channel pinged hardest — quiet but critical alerts losing to loud but minor ones. She did not lack alerts; she lacked one place to read them.
What we changed
Solya pulls alerts from email, Slack, the buying tool, the warehouse system and the e-commerce platform into one central layer, all connected through its data layer. The five sources keep producing alerts exactly as before.
What changed is that there is now a single place to read them — and a single order of priority.
How decisions get made
Each alert is auto-tagged with type, severity, source and an impact estimate computed from historical patterns and business rules. Solya then ranks every alert by its expected effect on revenue, margin or stock cover.
The director's morning view is one prioritised feed: high-impact alerts at the top with a "why this matters" note and a recommended action; routine alerts grouped or dismissed automatically.
Where it lands
Mondays start with a list of ten things to act on, ordered by impact — not a chase across five tabs. Solya logs whether each alert was acted on or dismissed, and the prioritisation improves over time.
The five systems keep producing alerts. She just has one place to read them now.
What changed
- One feed replacing five separate alert sources
- 40% more high-impact alerts acted on within 24 hours
- 20 minutes reclaimed every Monday morning — and prioritisation that keeps learning
Related: see how merchant Q&A in Slack puts answers where the team already works, or how Solya's application layer surfaces decisions, not dashboards.
More use cases
A seasonal buy plan, signed off in one review
A 14-store apparel buyer had to cut next season's open-to-buy by 12% — and built a sharper plan on two years of live sell-through instead of intuition.
Move stock before markdown is the only option left
A 9-store streetwear brand turned twice-a-season panic transfers into a calm weekly lever — moving stock six weeks before markdown was the only answer left.
Allocation that finally knows the network
A 14-store apparel network still split each season with a rule written when it had 8 stores. Solya re-allocated on what every store had actually become.
From the blog
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