Results — AIV Digital

Energy & Fuel Distribution

Dispatch in hours, not days.

The problem — a country-scale fuels operation ran its ERP and operations in separate worlds. Every dispatch was reconciled by hand, inventory truth lagged reality by a day or more, and the audit trail lived in paper files.

What we built — a live two-way integration between the ERP and operational systems: orders, lot tracking, and dispatch confirmations flowing automatically, with an exception queue for anything that didn't match.

The result — dispatch cycle measured in hours instead of days, with a complete digital audit trail from order to delivery.

FMCG & Distribution

Inventory accuracy in the high-90s, across every site.

The problem — rapid growth had outrun spreadsheets and legacy tools. Each new warehouse made the stock picture worse, and nobody trusted the number in the system.

What we built — an end-to-end operations platform rollout across multiple sites: process design first, then data migration, ERP integration, and on-the-floor go-live support with the teams doing the work.

The result — multi-site inventory accuracy in the high-90s, and a platform that absorbs each new warehouse instead of straining under it.

Manufacturing

Days cut from month-end close.

The problem — a tier-one ERP held the financial truth while operations ran on disconnected systems. Closing the books was an archaeology project, and traceability meant searching through files.

What we built — near-real-time synchronisation of inventory, production, and dispatch events into the ERP, preserving lot-level traceability from raw material through to delivery.

The result — days cut from every month-end close, and traceability available on demand rather than on request.

Cross-industry

Hundreds of manual hours reclaimed, every month.

The problem — the same tax in every operation we see: document handling, re-keying between systems, and reconciliations done by people who should be doing something more valuable.

What we built — targeted automations layered on the integrations we own — document capture, automated reconciliation, and workflow alerts — each measured against a baseline taken before we started.

The result — hundreds of manual hours returned to the business each month, with error rates cut sharply.

Engagements shown reflect the delivery track record of AIV's founding team. Detail and references available in conversation.

How we report

If we can't measure it, we don't claim it.

Every engagement starts with a baseline — how long things take today, how often they break, what that costs. We measure the same things after go-live. That comparison is the deliverable, and it's the only kind of proof worth anything.

What we baseline

Cycle times — order to cash, request to fulfilment, close to sign-off
Manual effort — hours per week spent re-keying, reconciling, and chasing
Accuracy — stock variance, invoice errors, rework rates
Cost of failure — demurrage, expedited freight, write-offs, penalties

The outcome is the deliverable.

If we can't measure it, we don't claim it.

What we baseline

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