For grocery
Built for multi-banner grocery. Not adapted from SaaS.
Most BI tools were built for SaaS metrics and bent to fit retail. ORIGIN started with the grocer's data model, banner, store, channel, SKU, pricing zone, and worked outward. Every feature is shaped by the way grocery actually runs.
Every delivery channel, unified on one read
The void
Six places grocery data breaks.
Every grocer hits these. We have built around them.
Every banner exports differently
Banners acquired at different times run different POS schemas, and the fields drift further apart every year. ORIGIN normalizes them on connect, so an executive view compares like for like.
Instacart numbers don't match yours
Different basket definitions, different fees, different timezones. We reconcile against your source-of-truth weekly close, so net revenue means net revenue.
Marketplace fees move silently
Instacart, DoorDash, Uber Eats, Shipt update fees and rules without notice. Our pipeline detects the drift in hours, not at quarter-close.
Shrink hides in fresh categories
Produce and meat shrink is a slow leak. Anomaly detection flags banner-by-banner variance against forecast inside the same shift.
Out-of-stocks misroute orders
Found-rate variance across banners turns into substitutions, refunds and cancelled baskets. ORIGIN surfaces low-fill SKUs by store before the dispatcher does.
Reconciliation is analyst time
Manual reconciliation across banners, channels and pricing zones is the highest paid copy-paste job in retail, and it runs every week before anyone reads a number. ORIGIN automates that surface.
How operators use it
The four moments that matter.
Workflow 01
Monday morning operator standup
Yesterday's GMV, basket and search conversion are trued up against one control total before the meeting. The team starts the week on agreement rather than on reconciliation.
Workflow 02
Quarter-close finance review
Lineage on every metric down to source row. Auditors and finance see the same number through the same chain, no spreadsheet ping-pong.
Workflow 03
New banner onboard
Connect, normalize, ship. A new banner joins the operating view through the same adapter mapping and canonical validation as the rest, without rebuilding dashboards.
Workflow 04
Marketplace anomaly response
Origin AI alerts when Instacart yellow-tag rules change basket conversion. Your category lead gets a chart and an answer before they refresh email.
Close the gaps
How ORIGIN addresses every type of void.
Voids are not just out-of-stock shelves. They are missed sales, undetected operational gaps, and supplier relationships running blind.
Sales voids
Identify which SKUs, banners, and channels are underperforming. Surface promotion lift vs. baseline, and flag cannibalization across banners before it compounds.
In-store voids
Track in-store traffic patterns, shelf compliance rates, and pick-up order fulfillment by store. Connect foot traffic to conversion and see which stores need operational attention.
B2B supplier voids
Share curated performance data with your CPG partners and vendors. Build supplier scorecards, automate retailer media reporting, and close the loop between shelf performance and purchase orders.
The shape it runs at
Multi-banner grocery, multi-channel reality.
Four banners, 116 stores, eight channels, one control total. That is the footprint the portal is modelled on.
- 4
- banners on one read
- 116
- stores
- 8
- channels reconciled
- 1
- control total, tied to the cent
See ORIGIN on your banner.
30-minute walkthrough. We bring an Instacart and POS reconciliation using your own data.