Most multi-courier shipping software does the same things it did five years ago. Better interface. Same limitations. You still wait weeks for a custom report. You still pick carriers on instinct or a rule someone wrote months ago. You still spend time building shipping logic from scratch when you just need it to work. 

Voila has shipped three AI capabilities that change that. Not vague AI. Not a chatbot bolted on the side. Three specific tools that remove three specific frustrations from multi-courier operations, built directly into the platform where your team already works. 

Here is what each one does, who it is for, and how it works. 

Build Custom Shipping Tools Without a Developer 

You have a question your shipping data could answer. Which couriers are underperforming? Which shipments need attention right now? What does fulfilment look like by channel this month? 

The data is in Voila. Turning it into a usable tool your team can open tomorrow without a spreadsheet normally means raising a development ticket and waiting. The Voila AI App Builder changes that. 

What Is the Voila AI App Builder? 

The AI App Builder connects Voila to Claude, giving Claude direct access to your live Voila data. Guided pop-ups walk you through exactly what information is needed, without requiring you to know how to write a prompt or touch a line of code. Voila takes your inputs and constructs the prompt for Claude automatically. 

Claude does the coding. The finished app goes into a test environment inside Voila, running against your real data, so you can interact with it and check it does what you need before anything goes live. Once you are happy, you publish it. It sits inside your Voila account, ready to use whenever you need it, accessible to you and any other users on the same account. 

What Can You Build With It? 

A dashboard is one option, but the scope is broader than that. Any question your Voila data can answer, the App Builder can turn into a working tool. Some examples: 

• A courier performance view showing failure rates by carrier and region 

• A live exceptions screen for shipments that need human attention 

• A CS-facing lookup showing only the fields your support team needs 

• A fulfilment report broken down by warehouse, channel, or date range  

We tested it ourselves. We asked for a Shipping Command Centre covering total shipments, delivery rates, cancellations, failures, and courier breakdowns. It came back in minutes: 902 shipments overviewed, full status breakdown by courier, failure rates, and a performance table. The kind of output that would normally sit in a development backlog for weeks. 

Alt text: A custom Voila app showing a Shipping Command Centre with 902 shipments overviewed, courier performance breakdown, failure rates, and delivery status data. 

Do You Need Coding Experience to Build a Shipping Tool? 

None at all. Voila guides you through the inputs. You never write a prompt, never touch code. Describe what you need, test it against your real data, publish when you are ready. The finished app lives inside Voila, not behind a link that gets lost in Slack. 

AI Carrier Selection That Knows How Your Couriers Are Performing Right Now 

Most carrier selection in multi-courier shipping software is static. You configure routing logic once and revisit it only when something goes wrong. The problem is that carrier performance shifts constantly and your rules do not update themselves. 

A depot under pressure in one region. A service that was reliable for next-day deliveries six months ago and is not anymore. None of those changes reach your routing configuration automatically. Your rules reflect how things were when someone last touched them. Your customers find out about the gap before you do. 

AI Carrier Recommendations is built to close it. 

Why Manual Carrier Selection Lets You Down Over Time 

Every routing rule is a snapshot. It was accurate when it was configured. Carrier performance varies by region, season, and volume in ways that happen without announcement. The longer your rules go untouched, the less they reflect reality. By the time you notice, through complaints or SLA breaches, the damage is already done. 

How Does AI Carrier Selection Work in Voila? 

When you create a shipment manually in Voila, the platform analyses live and historical shipment data from across the entire Voila platform to surface the best-performing carrier for that destination. Every shipment processed through Voila’s API feeds into the intelligence behind the recommendations, giving you a far broader performance picture than any single account could generate. 

At step 3 of the shipment creation flow, you see a ranked list of carrier recommendations, each tagged with a real-time insight label such as “Fastest ETA” or “Best next-day chance.” The recommendations are not mandates. You still choose. But you are choosing from an informed, data-driven shortlist rather than defaulting to habit. 

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Which Operations Benefit Most From AI Carrier Recommendations? 

This feature is built for operations that create shipments manually, one at a time. Lower volume, higher value items are the natural fit. When each individual shipment decision matters, having live performance data at the point of despatch is genuinely useful. 

If you are already running shipping rules automation for the majority of your orders, or bulk creating shipments, AI Carrier Recommendations is not where you will see the most value. For that, the AI Rules Engine is the better fit. 

Shipping Rules Automation Without the Technical Setup 

Higher volume. More couriers. Orders coming in faster than any manual process can handle. At a certain point, you do not want a human deciding which carrier to use for each shipment. You want shipping rules automation: every UK order under 2kg goes with Royal Mail, every UK order from 2kg to 25kg goes with DPD, done. 

The problem has always been building those rules. Not every ops manager understands priority stacking. Not every team has someone with the time or expertise to configure routing logic from scratch. The AI Rules Engine removes that barrier. 

What Is the Voila AI Rules Engine? 

You tell Voila what you need a shipping rule to do, in plain English. The AI translates that into a fully configured rule that fits your specification. You review it, confirm it, and it goes live. No technical knowledge required. No manual condition building. 

Think of it as a shipping rule minion. One that works instantly, never needs briefing twice, and does not need a wage. 

Alt text: The Voila AI Rule Assistant panel showing a proposed routing rule with conditions, assigned service, and priority position labelled, ready to confirm or refine.  

What Shipping Rules Can You Automate With AI? 

• Weight-based carrier splits across any courier in your account 

• Postcode or region-based routing 

• Service level conditions such as next-day versus standard 

• Any routing logic you can describe clearly in plain English 

The AI Rules Engine works across all 150+ courier integrations and 7,000+ services available in Voila's multi-courier shipping software. 

Can You Add AI-Generated Rules to an Existing Setup? 

Yes. If you already have rule groups configured, the AI Rules Engine can propose new rules that slot into your existing configuration. It shows you where in the priority stack each proposed rule would sit before anything is applied. 

Worth noting: rule priority stacking can be complex, and there is always a possibility a new rule interacts with existing logic in ways you did not expect. The review step is there for exactly this reason. Check the proposed position carefully before confirming, particularly if your existing setup is detailed. 

Multi-Courier Shipping Software That Actually Moves 

There is a lot of AI in shipping right now. Most of it is noise. A feature that works in a demo and disappears in production. A capability announced once and never iterated on. A chatbot bolted onto a platform that was not designed for it. 

These three capabilities are different. Each one targets a specific, recurring problem in multi-courier shipping operations: the tooling backlog, the carrier decisions made on outdated data, the manual overhead of building shipping rules logic. All three are live, connected to real data, inside the platform your team already uses. 

The AI App Builder is for when you need visibility your platform does not currently surface and you cannot wait for a developer. AI Carrier Recommendations is for when you are creating shipments manually and want live performance data at the point of despatch. The AI Rules Engine is for when you want carrier selection automated entirely, without needing to understand the configuration logic underneath. 

Voila connects to 150+ couriers, 7,000+ services, and is trusted by 1,000+ businesses. The rest of the market is still planning its AI strategy. Voila is shipping.