Supply Chain Consultancy · Madrid ↔ China ↔ EU

The trade doesn't lack data.
It lacks decisions.

Supply chain and sourcing consulting for white-label and private-label consumer brands — supplier vetting, landed cost, MOQs and the calls that move margin: what to buy, how deep, and when to stop.

Eleven years in sourcing and procurement across China–Europe trade lanes, from Madrid. Over 3,000 SKUs sourced, 73 supplier relationships built and maintained — for ecommerce, D2C, Amazon private-label and TikTok Shop sellers.

Evidence

How I think — not just what I've done.

Anyone can show a highlight reel. Judgment is a track record of calls, including the ones that got away.
Called it

The viral spike

A client's product sold 30% of its buy almost instantly after going viral on Amazon. Every instinct said double down. I advised against buying into the spike — virality is a marketing event, not a demand base. The follow-on order became dead stock inside two quarters. The client who held back kept his capital and his shelf space.

Right. And I could only recommend, not decide.

Called it

The home-gym cut

Mid-pandemic, with home fitness flying, I asked a client to cut his buying depth in home gym while the numbers still looked strong. Source-side order books were already thinning. The downtrend arrived weeks later, the moment lockdowns eased. The category died on schedule. His exposure didn't.

Right. And it only worked because he acted on it.

Missed it

The Canton Fair notebook

Products I flagged on the hall floor and never backed with a calculated bet were trending across Europe six to eight months later. Being right and not acting is still a loss.

That notebook is why my method now forces the position — small, and early.

Changed me

The favourite

Early on I stayed emotionally invested in winning products until they turned hostile — reordering out of loyalty long after the demand had left.

The rule is mechanical now: the moment a favourite stops earning its reorder, it's inventory, not identity.

These are the calls I can stand behind in a room with your order book open. The misses stay on the page because they shaped the method more than the wins did.

What I do

Four capabilities. One of them is why people call.

Core engagement

Demand sensing & buy decisions

Reading source-side movement — factory pricing, order-book rhythm, fair-floor signals — against your own sell-through and returns, so the buy is timed instead of guessed.

Signals are directional. Nothing here overrides your own data; it tells you where to look first.

  1. 01Protect, cut or re-time call on each SKU in a category
  2. 02Buy-depth and reorder-trigger rules written before the buy, not after the problem
  3. 03Early-signal watch on categories you're considering entering
  4. 04A confidence level attached to every call, so you know what to weight

Strategic sourcing

Supplier discovery, vetting and negotiation across China–Europe lanes, so no single factory becomes a single point of failure.

White-label build-out

Product spec, packaging, MOQ negotiation, quality testing and EU/UK customs clearance, end to end.

Ops automation

Vendor management and reporting turned into repeatable workflows your team keeps using after I leave.

Full detail on supply chain strategy, China sourcing and operations services.

How I work

AI removes the busywork. It doesn't make the call.

Supplier intelligence

AI-assisted supplier research and vetting cuts shortlisting a private label manufacturer from days to hours — with structured risk notes, not guesswork.

Demand sensing

Models blend sales velocity, market chatter and seasonality to flag what to buy, when to buy it, and when to pause.

Negotiation prep

Automated briefs on pricing benchmarks, MOQ trade-offs and counter-offers — so every factory conversation starts informed.

Ops documentation

SOPs, QA checklists and reporting templates generated from raw notes — turning one-off wins into repeatable systems.

The AI workflows I run for white-label brands

Six workflows take a white-label consumer brand from category idea to a reorder rhythm that scales. Each one is AI-assisted end to end, and each one ends with a decision I sign off on.

  1. 01

    Category scan for white label products

    I feed marketplace listings, review text and search demand into a scoring workflow, and come back with the white-label product ideas worth sourcing — and the ones already crowded out.

  2. 02

    China sourcing shortlist

    A sourcing agent workflow pulls factory records, trade data and certification history for China–Europe suppliers, then ranks them on price, compliance and how likely they are to hold a lead time.

  3. 03

    Landed-cost and margin model

    Quotes, freight rates, duty codes and FX assumptions go into one model, so a white-label brand sees true landed cost per SKU before the deposit leaves the account.

  4. 04

    Buy-plan and reorder cadence

    Demand sensing turns sell-through into a protect, cut or re-time call on each SKU, with reorder points that survive currency swings and shipping disruption.

  5. 05

    QA and supplier scorecards

    Inspection reports and defect notes are summarised automatically into supplier scorecards, so quality problems surface before they become a returns problem.

  6. 06

    Scale-up playbook

    Every decision is written down as an SOP your team can run without me — the difference between one good launch and a portfolio that keeps scaling.

The problem

Import buying runs on rear-view mirrors.

Last month's rank, last season's sell-through, this week's gut feel. Every number a category team watches is downstream — it reports what already happened to demand after it reached the listing.The signal is almost always there earlier: at the factory gate, in the supplier's inbox, in the reorder rhythm. What's missing is the willingness to take a position on it while it still costs little to be wrong.
"I only realise the source price has fallen when it's too late — and that's exactly why I'm still holding the stock."
An importer, on how dead inventory actually happens
"Category managers take too long. They ignore what happens at the source, then take their risk too late in the product's life."
A supplier — who, uncomfortably, was right
Confidentiality is my quiet standard.

Your suppliers, your margins, your playbook — never leave this room. No case studies with your name on it. No name-dropping to win the next client. What I build for you stays yours.

Formalised by NDA before any commercial detail is shared. Privacy policy.

Prateek Lalwani

Certifications

Trained on the tools I use

I don't just advise on AI — I train on it and run it daily in my own workflows. Here's the formal proof.

Outskill certificate of completion: Generative AI Mastermind, awarded to Prateek Naresh Lalwani

Generative AI Mastermind

Outskill

Applied AI workflows for sourcing, demand sensing and brand operations.

Start here

Bring one category. Leave with a decision on every SKU in it.

Format
30 minutes, remote
You bring
Reorder history, sell-through, returns and margin for one category
You get
A protect, cut or re-time call on each SKU, the signal behind it, and my confidence level
Then
If it's useful, we scope the engagement. If it isn't, you still have the calls.

Every engagement is scoped to the shape of your business, from a one-time diagnostic to a full white-label build-out. No packaged tiers.

FAQ

Questions, answered

30-minute intro call

Set up a call with Prateek

Bring one category. We'll look at where the buy is timed wrong and what I'd do about it.

Set up a call with Prateek

Confidentiality is my quiet standard

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