ARES
Data & software for e-commerce and logistics

You've outgrown spreadsheets. Your data hasn't caught up.

Clarity at the center. Control everywhere.

ARES builds the pipelines, dashboards, and internal tools that small e-commerce and logistics teams run on — so orders, fees, inventory, and margins finally agree, and you can see the business as it actually is.

Sound familiar?

The problem isn't that you don't have data. You have too much of it.

Scattered across too many tools, owned by no one, trusted by no one.

01

“Our marketplace payouts never match what we actually made.”

Shopify, Amazon, Walmart and TikTok Shop all pay out on their own schedule, after their own fees. You're reconciling four statements by hand to find out what the month really earned.

02

“The margin on our dashboard is before ad spend and returns.”

Ad spend, shipping, returns and marketplace fees live in different tools. The gross margin you report is optimistic by exactly the amount that decides whether a product is worth selling.

03

“One person holds our reporting together.”

A spreadsheet, a few saved exports and a routine only one person understands. When they take a week off, nobody can answer how last week went.

04

“The fix is a small internal tool, and it is never worth an agency minimum.”

Reorder planning, order reconciliation, a live ops view — modest software that would remove hours of manual work every week, priced out of reach by every dev shop you have asked.

05

“We can't justify hiring a data engineer.”

You need the work done, not a full-time salary and a six-month ramp. What you actually want is someone senior for a few weeks, then a few hours a month.

→

What you need is one place where your numbers tell the same story.

Clearly, in real time, every single day. That's exactly what we build.

Stop running blind
01 —
Services

Four ways we can help — from a full marketplace data platform down to one small tool that removes an hour of manual work every week. Most clients start somewhere in between.

Marketplace Data Pipelines

Orders, fees, returns and inventory pulled out of Shopify, Amazon, Walmart and TikTok Shop into one warehouse you own — scheduled, tested and documented, so the numbers stop being an export.

PythondbtAirflowBigQueryShopify APIAmazon SP-API

Command Center Reporting

SKU-level contribution margin after fees, ads, shipping and returns — in a dashboard your team reads without training. One definition per number, agreed once.

MetabaseLooker StudioPower BIdbt

Custom Internal Tools

The operational app that replaces the spreadsheet: reorder planning, order reconciliation, a live ops view. Small, focused, and yours — built in weeks, not quarters.

Next.jsTypeScriptPostgreSQLREST APIs

Ongoing Partnership

A monthly retainer to monitor what we built, fix what breaks, and answer the next question — without hiring for it.

MonitoringReportingFixesAdvice
How it usually goes
01

A 30-minute call

We look at your setup together — which marketplaces you sell on, where the numbers come from, and what you cannot answer today. No charge, no pitch deck.

02

A diagnostic

A scoped piece of work that maps every source, every gap, and the order to fix them in. You end up with a written plan you could hand to anyone.

03

A build

Pipelines, reporting, or a small internal tool. Scope agreed and priced before anything starts, then delivered in weeks — not quarters.

04

Ongoing, if you want it

Monitoring, fixes, and the next question answered. Month to month, and it has to keep earning its place.

Book a Free Clarity Call

Scope and price are settled on that call — after we have seen what your data actually looks like. No estimates before then, and no obligation after.

02 —
Projects

Work you can look at, and client work we can describe.

Client engagements
Names withheld

A US data team

Current

Production data platform: AWS infrastructure, Python ETL in Airflow and dbt transformation models, an OpenMetadata catalog, Metabase for stakeholder reporting, Grafana for pipeline observability.

AWSAirflowdbtOpenMetadataMetabaseGrafana

A US adtech company

2025

AdTech ingestion and transformation pipeline, plus a classification model that automated project-code tagging and reduced manual labelling effort. Reporting in SQL, Tableau and Power BI.

PythonSQLTableauPower BIML classification

A New York e-commerce shipping company

2022–2025

Marketplace integrations for Wix, TikTok Shop, Walmart and Shein — and the Airflow and dbt pipelines behind them. Manual data prep down 25%; internal dashboards for analytics.

WixTikTok ShopWalmartSheinAirflowdbt
03 —
About

Most small e-commerce and logistics teams are not short on data. They are short on a single version of it — one that survives a marketplace fee change, a returns spike, and the person who normally builds the report being on leave.

ARES builds that version, and the software around it.

I started in mechanical engineering and spent four years teaching algebra and thermodynamics before moving into software. That is why I explain data in plain language instead of handing over a dashboard nobody opens.

I've been doing data engineering inside e-commerce since 2022 — at a New York shipping company I built the marketplace integrations and the Airflow and dbt pipelines behind them. Since 2025 I've been a data engineer for US teams: AWS infrastructure, OpenMetadata, Metabase reporting, Grafana observability.

ARES is that work, packaged for smaller companies. You get the engineer, not an account manager.

DTI Registered·Business Name No. 8073801
BIR PSIC·62090
Scope·National
Raymond Cancino — Founder, Software & Data Engineer at ARES IT Solutions

Raymond Cancino

Founder · Data & Software Engineer

Data Engineering

PythondbtAirflowBigQueryKafka

Data Visualization

MetabasePower BITableauLooker Studio

Web Development

Next.jsReactVueTypeScriptTailwind CSS

Cloud & Infra

GCPAWSDockerTerraform

AI & LLM

OpenAIClaude APIVertex AIHugging Face

Databases

PostgreSQLMySQLSnowflakeClickHouse
it-solutions.ares-ph.com
04 —
Contact

Ready to see what your Command Center could look like? Reach out and we will respond within one business day.

We reply within one business day. No spam, ever.