of the workday is “work about work”
Teams spend most of their day chasing updates, re-entering data, and managing follow-ups.
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.
Built around workflows, cadence, and ownership.
12 signals routed into a prioritized action queue
Three climate zones account for 81% of excess units. Yesora prepared a transfer plan protecting an estimated $184K in sell-through.
The problem
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.Teams spend most of their day chasing updates, re-entering data, and managing follow-ups.
Critical workflows still depend on spreadsheet logic, email chains, and manual re-entry.
ERP, EDI, WMS, finance tools, and spreadsheets create constant handoffs and follow-up.
How Yesora works
Yesora sits above the systems your team already uses and runs the recurring work between them, without replacing the underlying tools.
Align records across ERP, CRM, retailer portals, supply chain tools, and spreadsheets.
Execute recurring reporting, analysis, and coordination workflows on schedule.
Turn exceptions into a recommended action with an owner, due date, and source context.
Write decisions and status back to the systems where teams already work.
Product demo
This retail selling workflow is one example of how Yesora connects data, isolates what needs attention, prepares the next action, and closes the loop.
Find the styles and locations that need attention first.
Built around the work
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 isolated the door-level exceptions and prepared the merchandising review queue.
Customer stories
About Yesora
Yesora brings together operating experience and deep AI engineering. We have led complex transformations and built production systems at scale.
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 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.