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Hexagon Analytics

Turn your retailer's sell-out reports into weekly decisions.

Sales analytics for brands selling through Mexican department-store chains. First deployment: Liverpool sell-out data.

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Warehouse
ClickHouse (columnar)
Dashboards
Metabase
Ingestion
Python
Model
Layered (medallion)

Where it fits

How the systems connect: the PIM sends product data to the store and publishes listings to marketplaces; the store sends orders to the ERP and CFDI invoicing; ERP sales and marketplace sell-out data feed analytics.
  1. StoreShopify · Custom-built
  2. PIMProduct data
  3. MarketplacesAmazon · Mercado Libre · Liverpool · Coppel · Walmart
  4. ERP / CFDIOrders, invoices and addenda
  5. AnalyticsHexagon Analytics

The problem

Raw sell-out reports arrive in formats that are hard to combine, and answering what sells, where, and what's missing takes days.

Modules

  • Sell-through

    What share of shipped units has sold, per SKU and per store.

  • Inventory by store

    Where product is overstocked and where it's missing.

  • Top & bottom SKUs

    Which products to push and which to review.

  • AI Q&A on your data

    Roadmap

    Ask questions about your sales and inventory in plain language.

Hexagon Analytics

How it works

  1. 01

    Ingest

    We load the retailer's reports automatically.

  2. 02

    Model

    We clean and organize the data in layers.

  3. 03

    Dashboards

    Every week, dashboards with the questions that matter.

Integrations

  • Liverpool (sell-out reports)Online

Deployment

  • Managed

    We run it for you.

Pricing

We put together a plan based on your retailers, data sources and the dashboards you need. Book a walkthrough and we'll send you a proposal.

We’ll show you in 30 minutes.

A walkthrough with sample data and a quote for your case.

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