Proactive AI for restaurants

Protect margin in every location, before the P&L closes

Restaurants, cafes and multi-unit chains run on POS, labor, inventory, delivery, and guest data spread across hundreds or thousands of locations. Cimba unifies it into one governed view and delivers the Next Best Action to the right team, with a full audit trail on every run.

What's a Next Best Action?

Not another dashboard. One specific, recommended move (“trim two hours off Tuesday's PM shift at Store 214”), routed to the person who can make it, with the reason and a full audit trail.

What changes

You don't have a reporting problem. You have a nobody-acted-in-time problem

Your POS and BI stack already tells you what happened, then waits for someone to notice it, ask the right question, and chase it down. By then the shift is over and the food cost is already spent. Cimba watches every location continuously, explains why margin is moving, and routes the one action that fixes it to the person who owns it, before period-end, not after.

  • Food and labor cost move every day

    The two biggest cost lines shift daily with prices, waste, and scheduling, and the P&L reports them once a period.

    With Cimba: Cimba watches them continuously, so you catch the drift before period-end, not after the money is spent.

  • Waste gets counted, not prevented

    Over-ordering and spoilage erode margin at the unit level quietly, and the inventory count confirms it after the fact.

    With Cimba: Cimba flags the risk from sales and inventory signals, with a fix attached, before the next count.

  • Location drift hides until the district report

    A location's sales, traffic, or throughput can slide for weeks unnoticed, weather swings and local events included.

    With Cimba: Cimba surfaces it as it happens, not after the trend is set.

  • Revenue is the last place guest loss shows

    Repeat traffic and loyalty move first when a location's health slips. Revenue confirms it weeks later.

    With Cimba: Cimba scores those early signals continuously, so you can act while guests are still winnable.

Why restaurant teams choose Cimba

One platform, not multiple tools

Cimba runs analytics, the Next Best Action, and task execution in a single native system, so insight, decision, and action do not live in separate tools that never talk.

The right action, to the right team, before anyone asks

Governed, role-based access puts the Next Best Action in front of the person who owns it: corporate leadership, ownership group, or the general manager on shift, each seeing only what's theirs.

Impact you can see in the P&L, not just a dashboard

Margin protected, waste cut, and labor aligned to real demand: outcomes that show up in the numbers, not just a report.

Scales to thousands of locations

Deploy across brands, regions, and thousands of locations, grounded in the data systems you already run, with a full audit trail on every run.

Cuts alerts, doesn't add them

Cimba replaces the scattered notifications your teams already get with one prioritized Next Best Action, routed to the person who owns it. Not another feed to check.

Sample use case

Margin caught shift by shift, not explained at period-end

A multi-brand restaurant group ran POS, labor, inventory, and delivery data in separate systems, reviewed weeks apart, so overruns surfaced at period-end and waste only after inventory counts.

~$2.3M

annualized margin recovered (~1.4 pts)

22%

less unit-level spoilage

~4 wks

to live, acting within two weeks

The challenge

A 140-location, three-brand casual-dining group (~$160M in system sales) ran POS, labor, inventory, and delivery in separate systems, reviewed weeks apart. Food and labor overruns surfaced at period-end, waste was visible only after counts, and locations drifted before anyone caught the trend.

With Cimba, one continuously scored view per location

  • 80 bps of food cost recovered (~$1.3M/yr) by flagging cost drift the day it started
  • 60 bps of labor recovered (~$1M/yr) by trimming over-staffed shifts against forecast demand
  • 9 underperforming locations flagged 3+ weeks earlier than the district report
  • +2.3% repeat-guest visits where win-back plays were run

Proven at scale

Cimba already powers proactive operations at Swiggy, one of the world's largest food-delivery platforms, connected within the first month with the team acting on Next Best Actions within two weeks. Swiggy runs this across thousands of account managers.

Store & inventory signalsLIVE

SKU 4821 · Store 112

2 days of stock · sell-through +38%

Stockout risk

Summer promo · West region

Margin +12% vs plan

Scaling

Next Best Action

Reallocate 400 units from DC-East to Store 112 before Friday, and extend the West promo to comparable stores.

Delivery economics

The order that looked profitable

A delivery order carries commission, packaging, promotion funding, and a refund rate, and most restaurants see those in four different places. Cimba reads them together, by location and by platform, so the channel that looks like growth and the channel that is quietly buying it can be told apart while there is still a contract to renegotiate.

Restaurant workflows Cimba runs

Unit-level P&L and margin

Track food cost, labor percentage, and contribution margin per location, with the Next Best Action for the operator.

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Enterprise-ready by design

Cimba works with the data systems you already run and fits the way large restaurant and ownership groups already operate, from data to deployment.

Integrations

Connects to your existing data layer: data warehouses, business systems, spreadsheets, and delivery platforms, with no rip-and-replace.

Security and governance

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

Deployment across brands and regions

Roll out across brands, regions, and thousands of units on consistent, governed workflows.

Ready to protect margin and grow guest visits in every location?

See how Cimba turns POS, labor, inventory, delivery, and guest data into early warnings and the Next Best Action, for the teams that run every unit.

Frequently asked questions

By watching food cost, labor percentage, and contribution margin per location continuously and surfacing the driver with a fix routed to the operator, instead of explaining the overrun at period-end.

It forecasts demand using sales, inventory, weather, and local event signals and surfaces over-ordering and spoilage risk with a reorder or prep adjustment attached, before the loss is counted.

Yes. Cimba scores location and guest health from visits, loyalty, and spend, and surfaces where to win guests back before the drop shows up in revenue.

Yes. Cimba tracks third-party commissions, channel mix, and item-level profitability so off-premise grows margin, not just order volume.

Yes. Commission, promotion funding, refund rates, and delivery times are read per platform and per location, so the true cost of each channel is visible rather than averaged.

Cimba is deployed once, at the franchisor or ownership-group level, giving one governed view across every brand and location. Individual restaurant teams get visibility into their own location's performance and next steps; they don't need to purchase or manage the platform themselves.

Cimba connects to your existing data layer: data warehouses, business systems, spreadsheets, and delivery platforms like DoorDash, Uber Eats, and Grubhub, with no rip-and-replace. See the full connector list on the product page.

Timelines vary with the complexity of your data and setup. As a benchmark, Cimba connected to Swiggy's systems within the first month and had the team acting on Next Best Actions within two weeks.

No. Cimba replaces the scattered alerts your team already gets across systems with one prioritized Next Best Action, routed to the person who owns it, not another dashboard or feed to check.

BI shows what happened and waits for you to ask. Cimba monitors continuously, explains the why, and delivers the Next Best Action, with a full audit trail.

Yes. Cimba deploys across brands, regions, and thousands of units, grounded in the data systems you already run.

Operations and unit leadership, finance, supply and inventory, labor and workforce, and the teams managing franchisees, ownership groups, and accounts.