Proactive AI for grocery

Fresh does not wait for the weekly review

Cimba watches demand, availability, waste, and fulfillment across every store and every basket, continuously, and routes the Next Best Action to the person who owns it while the product is still sellable.

What changes

In grocery, a late decision is a written-off one

Cimba runs analytics, the Next Best Action, and task execution in one platform, reading the systems you already use. Your ERP and merchandising systems stay the book of record.

  • Shelf life does not negotiate

    A markdown taken on Thursday that should have been taken on Tuesday is not a smaller margin, it is waste. The decision window is measured in hours and the reporting cycle is measured in days.

    With Cimba: Cimba scores markdown timing continuously, so Tuesday's markdown is recommended on Tuesday, with the margin math shown.

  • Every store is a different store

    Demand at one location is not demand at another, and a chain-level forecast hides the dozen stores where it is wrong. The exceptions are where the money is.

    With Cimba: Cimba forecasts store by store, so those dozen surface by name instead of averaging into a chain number.

  • Availability and fulfillment pull against each other

    Online orders, substitutions, and in-store shoppers draw on the same shelf. Managing them from separate systems means solving one at the other's expense without seeing it happen.

    With Cimba: Cimba watches both against the same shelf and shows the trade-off before you make it.

Why grocery teams choose Cimba

Forecasts at the level decisions are made

Demand watched item by item and store by store, against a real ordering cutoff, not a chain average that is right on aggregate and wrong where it matters.

Markdowns timed while there is still margin

Waste is a timing problem. Cimba flags the slow mover and recommends the markdown while the product still has a price someone will pay.

One view of the shelf, online and in store

Availability, substitutions, and fulfillment are watched together, so a promise made online and the shelf behind it stop drifting apart.

Routed to whoever owns it

A category decision goes to the category manager, a store decision to the store. The recommendation arrives with the reasoning and the numbers attached.

Fast to prove, safe to trust

New workflows go live in under a week, on a SOC 2 Type II platform with role-based access and an append-only audit trail on every run.

Cuts alerts, doesn't add them

Cimba replaces the scattered alerts your team already gets across every store and every system with one prioritized Next Best Action, routed to the person who owns it. Not another dashboard or feed to check.

Proven at scale

Thousands of operators, 10 business units, live in under three months

Swiggy, one of the world's largest food-delivery marketplaces, moved operations and analytics onto Cimba across 10 business units.

Thousands

operators on Cimba

10

business units

< 3 mo

to full rollout

The challenge

Operations and analytics ran across separate tools and reporting cycles, which meant the people closest to a decision were often the last to see the number behind it.

With Cimba, one continuously scored view

  • Teams see what needs attention now, with the Next Best Action attached
  • Every recommendation routes to the person who owns the account or the category
  • Every run is logged, with role-based access across business units

The outcome

Account managers hit their monthly GMV targets faster than before, and each one covers far more accounts than in the past.

Grocery workflows Cimba runs

Demand forecasting by item and store

Forecast against a real ordering cutoff, per item and per location, and surface the stores where the chain forecast is wrong.

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Ready to run grocery on what is happening now

See how Cimba turns store, shelf, and fulfillment signals into early warnings and the Next Best Action.

Frequently asked questions

By watching demand, availability, waste, and fulfillment continuously and surfacing what needs attention while the decision still has value, each with a recommended next step.

Waste is usually a timing problem rather than a forecasting one. Cimba flags the slow mover early and recommends markdown timing and depth while the product still has a price someone will pay.

Yes, and that is the point. A chain-level forecast is right on average and wrong in the stores where the money is. Cimba forecasts item by item and store by store against a real cutoff time.

BI shows what happened and waits for a question. Cimba watches continuously, explains the why, recommends the next move, and can carry it out.

Category and merchandising, store operations, supply chain, and online fulfillment each get a governed view and the Next Best Action for their area.

Yes. SOC 2 Type II, role-based access, and an append-only audit trail on every run.