Relationships beat blasts
Top customer and lapsed customer lists make one-to-one outreach easier than guessing who deserves attention.
Tillwise Reports turns Square sales data into the weekly actions small merchants actually need: who to thank, what to reorder, what to discount, which hours are worth staffing, and where profit is really coming from.
Most point-of-sale reporting tells owners what happened. That matters, but it is not enough. A busy merchant does not need more tables to interpret after close. They need a short list of decisions that can change what happens next week.
Top customer and lapsed customer lists make one-to-one outreach easier than guessing who deserves attention.
Fast movers, stale items, seasonal risers, and discount candidates should be visible before a reorder or stockout happens.
Sales by hour and season help owners decide when staying open is worth it and when the numbers do not support the shift.
Tillwise is being built by a hobbyist-turned-product-builder working directly with merchants, using Codex and modern tools to move quickly without pretending every shop needs an enterprise BI stack.
The product is intentionally hands-on while the workflow matures: upload exports, review the snapshot, publish the report, and keep improving the analysis based on what owners actually ask.
That means less dashboard decoration and more deliverables: copyable outreach lists, reorder recommendations, margin-aware category views, large-order flags, and seasonal staffing clues.
The first version works from Square exports. The goal is a multi-merchant reporting layer that connects directly to Square, supports different shop types, and gives owners clear weekly and monthly operating reports without hiring an analyst.
Upload Square exports and generate private dashboards with sales, customers, inventory, margin estimates, and action lists.
OAuth and direct data sync will reduce manual upload work and make refreshes easier for every merchant.
Support for more merchants, more POS patterns, and smarter recommendations built from real operator feedback.
If your Square data has answers buried inside it, Tillwise is built to turn those answers into next steps.