Agentic Product Build · New Business Line

From spec to a live two-sided marketplace in weeks

Re-Commerce · B2B Marketplace · Anonymised marketplace · Refurbished electronics

AI-Native Engineering

NorthLadder

Re-Commerce · B2B Marketplace

Delivered surface below ↓

The challenge

NorthLadder had a business bet: a B2B marketplace for refurbished electronics that connected verified buyers with an anonymised pool of platform-approved suppliers — neither side seeing the other. It couldn’t be pitched from a slide deck. It needed a real, clickable, stress-testable product before anyone could pressure-test the model. Before a pilot could happen, three questions had to work as software: how pricing gets computed across an anonymised supplier pool; how orders route fractionally across suppliers; and how a buyer never sees who they’re buying from.

The solution

A single product lead, using agentic design and development tooling, took the marketplace from a formal spec to a live, demo-able buyer and seller platform. The build was rules-first: every screen had to correctly implement a specific piece of backend logic — anonymised pricing, fractional multi-supplier allocation, strict anonymity enforcement. Two buyer paths — browse pooled inventory, or post a requirement — routed through the same engine. In the same sprint, the supplier console arrived: inventory, revenue, and a live view of unmet buyer demand translated from routing signals in reverse.

Proof of work

What the customer actually experiences.

Reference imagery drawn against the same brand system the programme ships against — not a client screenshot, but a faithful reading of the surface.

The direction we took

Where we pointed the work.

A single diagram, drawn from the programme, showing how the strategy actually lines up — where it converges, where it stays plural.

How we shaped the work.

Step 01

Spec before screens

The product direction began as a formal specification defining the actors, the pricing model and the routing logic that would govern the marketplace. Not a design mock. A rules document that engineering could build against.

Step 02

One engine, two experiences

Buyers browse pooled inventory or post a requirement. Both paths route through the same anonymised pricing engine with fractional supplier allocation. Suppliers see a matched pool sorted by price and a demand-intelligence panel translating buyer signals into their own actionable opportunities.

Step 03

Anonymity as a first-class constraint

The buyer never sees who they’re buying from. The supplier never sees who they’re selling to. The engine enforces this — from pricing through allocation to a unified order ledger across both buyer paths.

Step 04

Live, clickable, stress-testable

The pilot validated the model as a coherent product — buyer platform, supplier platform, shared pricing/routing engine, demand-intelligence loop — with room for two open modules to follow: bid/offer negotiation and pricing benchmarking.

Outcomes

What reached production.

Two-sided

A buyer and supplier product built on one shared engine

Demand loop

Buyer routing signals translated back into supplier opportunities

Weeks

From formal spec to live, stress-testable product

AI-native, today

One product lead. Agentic tooling. A new business line.

A single product lead took a new marketplace from spec to a two-sided, clickable product in weeks — because the tooling could carry the logic. Anonymised pricing, fractional routing, unified ledger: all reviewable, all real, all before a pilot conversation opened.

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