Intelligence platform · Northbound

FALKOR

Your business generates thousands of signals every day.
Falkor shows you which ones matter.

SalesMarginInventoryCustomersProductsChannelsMarketingOperationsMarket

An intelligence platform that connects the business's data, surfaces relationships that isolated dashboards can't show, and puts context in the hands of whoever needs to decide.

engine · continuous reading
Falkor
ingesterp · ecommerce · crm · media
joinrevenue × margin × mix × channel
detect3 relevant deviations this period
explainmix 43% · discount 31% · shipping 18%
Net revenue
$196.8M
Gross margin
55.85%
EBITDA
6.85%
Illustrative interface and figures
You already have the data.

The problem is seeing the whole business at once.

ERP
E-commerce
CRM
App
Media
Inventory
Finance
Stores
Market
External data
Single layer
FALKOR

Instead of ten separate readings, one single reading: the same numbers, in the same context, with the relationships between them visible.

This is a product vision. Each connection is enabled project by project, according to the systems and data available at the client — nothing here is presented as an off-the-shelf integration.

The difference

We don't deliver pretty dashboards. We deliver a clear understanding of your business.

overview · tuesday morning
Falkor
Good morning, Clara.
$196.8M
Net revenue
55.85%
Gross margin
6.85%
EBITDA
571K
Orders
3 things deserve your attention today.
01Margin

Revenue is on the expected trajectory, but gross margin is 2.15 pp below budget.

Estimated impact this period
Understand what happened
02Inventory

14 SKUs concentrate a significant share of capital that has been idle for more than 90 days.

Capital concentration
Open products
03Customers

Recurring customers increased their frequency but reduced average ticket this period.

Cohort behavior
Investigate behavior

“Here's your dashboard.”

“Here's what's happening with your company.”

Illustrative interface and figures
Depth on demand

Start with the answer. Go as deep as you want.

ask falkor
Falkor

Why did my margin drop in August?

Your margin dropped 1.8 pp, mainly driven by three factors.

43%Product mix

Higher share of categories with below-average margin.

31%Discount

Deeper promotions in certain clusters.

18%Shipping

Higher share of subsidized orders.

8%Other

Remaining residual effects for the period.

Show categoriesCompare with 2025Which SKUs contributed the most?Simulate without the discount increase
Illustrative interface and figures

Falkor doesn't hide complexity. It lets the user choose how far to go.

CEOwants the answer
CFOwants the breakdown
Head of Digitalwants the channel
Managerwants the category
Analystwants the SKU

The same intelligence, at different depths — with the Ask Falkor bar available on any screen, already loaded with that analysis's context.

Falkor / Retail Lab

What if you could test the decision before making it?

The environment where analysis becomes experimentation. It's not a separate product: it's one more layer of depth inside Falkor.

PriceDiscountMarginMediaInventoryConversionTicketShippingMixGrowth
Objective

“I want to bring EBITDA back to 9% without reducing revenue.”

Falkor analyzes the available variables, builds scenarios and shows what each one requires — along with the assumptions behind the result.

Scenario A
  • Reduce media
  • Rebalance discounts
  • Change mix
EBITDA projetado
8.4%
Medium confidence · 3 assumptions
Scenario B
  • Keep media
  • Fix subsidized shipping
  • Prioritize categories
EBITDA projetado
8.9%
Low confidence · partial shipping data
Product rule

Simulation is not a forecast. Every scenario carries explicit assumptions, a confidence level and limitations — because deciding with a number stripped of context is worse than not having the number at all.

Illustrative interface and figures
The equation
Company data

What happens inside the company.

Market data

What happens outside the company.

Business context

What that means.

“My Morumbi store is underperforming.”

An isolated answer ends the conversation. An answer with context starts the decision.

Shallow answer

Sales dropped 12%.

Answer with context

Sales dropped 12%, but foot traffic in the region fell, two competitors increased promotional intensity, your stockouts grew, and customers in that cluster migrated mainly from category A to category B.

Illustrative example — product direction, not a measured case
Conceptual architecture

An operational intelligence layer — not a set of tools.

01Overview
02Performance
03Customers
04Products
05Channels
06Inventory
07Marketing
08Finance
09Market Intelligence
10Retail Lab
Ask Falkor — ask on any screen, with that analysis's context already loaded.
always available
Falkor

Deciding better starts with seeing better.

Data shows what happened.

Context helps you understand why.

Simulation helps you decide what to do.

Falkor connects the three.

Northbound
Intelligence for better decisions.