It's time to end work about work.

The work no system owns is often what your business depends on most.

When work crosses systems, decisions slow down, exceptions get missed, and ownership fragments. Yesora connects the operating loop from reconciled records and exceptions through approved decisions, owned execution, and synced outcomes.

The Yesora differenceOperational, not abstract.

Built around workflows, cadence, and ownership.

YesoraRetail selling intelligence & report automation Live
This week

Turn exceptions into owned action.

12 signals routed into a prioritized action queue

Recommended actionReady to assign

Rebalance 18 styles before next week’s allocation.

Three climate zones account for 81% of excess units. Yesora prepared a transfer plan protecting an estimated $184K in sell-through.

OwnerAllocation
DueFriday
Expected impact$184K protected

The problem

Your systems hold the data.
No system owns the work between them.

The coordination gap

Every system does its part. The work that crosses them still depends on people to reconcile, format, chase, and follow up.

People are still the integration layer.
60%

of the workday is “work about work”

Teams spend most of their day chasing updates, re-entering data, and managing follow-ups.

70%

of companies rely on manual data entry

Critical workflows still depend on spreadsheet logic, email chains, and manual re-entry.

60+

applications are used on average by SMBs

ERP, EDI, WMS, finance tools, and spreadsheets create constant handoffs and follow-up.

Where Yesora worksYesora closes the coordination gap by running the work across systems, from reconciliation through action and sync.

How Yesora works

From disconnected records to coordinated action.

Yesora sits above the systems your team already uses and runs the recurring work between them, without replacing the underlying tools.

01Reconcile

Align records across ERP, CRM, retailer portals, supply chain tools, and spreadsheets.

02Run

Execute recurring reporting, analysis, and coordination workflows on schedule.

03Act

Turn exceptions into a recommended action with an owner, due date, and source context.

04Sync

Write decisions and status back to the systems where teams already work.

The operating loopReconcile the data. Run the workflow. Act on exceptions. Sync the outcome.

Product demo

See the operating loop in action.

This retail selling workflow is one example of how Yesora connects data, isolates what needs attention, prepares the next action, and closes the loop.

What the demo covers

Find the styles and locations that need attention first.

Inventory queuePrioritized
18 styles prioritized

Built around the work

One operating layer.
Configured for the last mile.

Automate

A weekly report that arrives already analyzed.

Yesora pulls retailer data, standardizes the inputs, and delivers the same trusted view every week. It also identifies the exceptions a team should act on.

Yesora outcomeRecurring report ready
Workflow run Action queue updated
Current runRecurring report ready2,481 styles · 4 source files · 0 manual merges
Recommended action

Review the 14 high-volume doors driving this week’s change.

Yesora isolated the door-level exceptions and prepared the merchandising review queue.

OwnerMerchandising
DueToday
Write-backWeekly report
Owner assignedSource records attachedWrite-back traceable

Customer stories

Less time generating reports.
More time executing decisions.

Customer storyLicensed apparel wholesaler
30 hours30 minutesweekly reporting work
Design partner · Retail intelligence

About Yesora

The people building Yesora.

Yesora brings together operating experience and deep AI engineering. We have led complex transformations and built production systems at scale.

Adam Yoran

Adam Yoran

Founder & CEO

Adam is a former McKinsey Senior Engagement Manager who led strategy, product, and technology transformations for Fortune 500 companies. Adam has also led AI and data infrastructure buildouts for consumer brands and holds a JD/MBA from Columbia.

Theo Van Rooy

Theo Van Rooy

Technical Advisor

Theo is a former Senior Applied Scientist at Amazon with more than two decades of machine learning and AI engineering experience. Theo has built production systems at Amazon, Google, and The Trade Desk.

It's time to end work about work.

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