Case study · Sprint build + AI integration
From daily spreadsheet chaos to a live stock-analytics portal in under two weeks.
A steel distributor's sales team was manually reconciling a daily export of 1,800+ product lines against enquiries and outstanding orders. We replaced the spreadsheet gymnastics with a portal that answers in seconds.
Outcomes at a glance
Metrics from a live NexSprint engagement. Client anonymized at their request; figures rounded for readability.
The problem
Where things stood.
Every day, the distributor's system produced an inventory export of more than 1,800 product lines. Every customer enquiry meant a salesperson manually cross-referencing that export against the catalogue and against outstanding orders to work out what could actually be fulfilled.
It was slow and error-prone. A single enquiry could take a chain of manual lookups across separate spreadsheets, and the risk of promising stock that was already committed to another order was constant.
The bottleneck hit the customer directly: fulfilment answers were delayed, and the team's time was consumed by reconciliation instead of selling. The distributor also serves customers whose access needed to stay fast and reliable from mainland China.
What NexSprint built
Human-led, agent-built, iterating weekly.
NexSprint scoped, designed, and shipped a stock-enquiry and outstanding-orders analytics portal in a single sprint. Upload the daily export and the manual reconciliation collapses into a few seconds of interaction — then we kept extending it release over release.
The outcome
What changed.
The sales team now answers stock enquiries in seconds. What used to be a chain of manual lookups across a daily 1,800-line spreadsheet became a portal interaction - and the whole build, spec to live production, took under two weeks.
It stuck. Around 1,300 product mappings power the attribute joins and batch lookups, and the portal is daily operational software for the sales team - not a demo that got shelved.
Infrastructure
Built on modern, Singapore-hosted edge infrastructure, with AI capabilities grounded in the client’s own data.
Timeline
Shipped within the initial sprint - under two weeks from spec to production. The engagement did not stop at launch: releases have continued month over month, including an AI-assisted quote-matching module, under an ongoing partnership.
Your turn
Want the same, measured against your own baseline?
We start with an audit, agree on the KPI, and ship a pilot. If we miss the number we agreed on, you don’t pay for it.