New Jersey · AI Automation Services

AI Automation for New Jersey Businesses

n8n pipelines for NJ pharma, port logistics, and finance back-office operators.

Serving: Newark · Jersey City · Paterson · Elizabeth
Waseem Nasir, AI automation engineer serving New Jersey

Industries I automate in New Jersey

  • Pharmaceuticals (Big Pharma HQs)
  • Port of NY/NJ Logistics
  • Finance Back-Office
  • Retail & E-commerce

Where New Jersey teams lose time

1

NJ pharma Tier-2 vendors face Big Pharma procurement portals that change quarterly — manual upkeep eats their commercial ops bandwidth.

2

Port of Newark logistics teams manage 10,000+ daily containers with carrier APIs, customs signals, and truck ETAs all in separate tools.

3

NJ finance back-office teams reconcile trades, corporate actions, and NAV across legacy systems with manual Excel macros.

Waseem Nasir, remote AI automation engineer

Client snapshot

What this looks like in practice

A Newark-area pharma services company was losing 3 ops FTEs to Big Pharma portal upkeep — credentials, policy docs, compliance attestations, capability decks, all per-customer per-quarter. I built an n8n system that tracks portal requirements, auto-generates submissions, and flags human review only on policy changes. Recovered 2 FTEs in Q1.

Who builds it: Waseem Nasir — AI automation engineer, digital nomad from Pakistan, based in Bali/ASEAN, serving global clients.

Frequently asked questions for New Jersey clients

Can you automate Big Pharma vendor portal upkeep?

Yes. The pattern is: scrape portal requirements on a schedule, diff against last state, auto-fill repeatable fields, and route human review only on true changes. Most Big Pharma portals have stable schemas — the churn is in compliance attestation dates, not structure.

How do Port of NY/NJ logistics teams unify container data?

I integrate carrier APIs (Maersk, MSC, ONE), US Customs ACE data, and trucker ETA feeds into a single n8n pipeline with a Retool dashboard on top. Dispatchers see one truth; customer service answers questions instead of chasing data.

What AI helps NJ finance back-office reconcile trades?

GPT-4o and Claude both handle structured-but-messy trade data well. I build reconciliation pipelines that flag breaks, classify cause, and route to the right ops human. The bot does not close trades — it just stops the 80% of easy-case manual review.

Do you work with NJ retail brands on Shopify + Klaviyo?

Yes. Shopify + Klaviyo + Gorgias + NetSuite is a common NJ stack. I build the glue — abandoned-cart branching, post-purchase flows, VIP segmentation by LTV, customer-service autoresponders on repeat questions.

Kill the portal upkeep. Ship reconciliations faster. Book a free call.

30-minute discovery call. No pitch deck. I map your current workflow, identify the highest-leverage automation targets, and tell you whether it makes sense to work together.