Orderly

03/09/2026

We’re taking Orderly from the restaurant kitchen to the factory floor.

With backing from Innovate UK, we’re beginning a six-month feasibility study into how our AI technology could help smaller manufacturers reduce waste and improve operational efficiency.

The project will explore a self-service approach that works with each manufacturer’s existing systems, data and processes. That could make technology previously built for large enterprises far more practical and accessible for SMEs.

The setting is different, but the principle is the same: see what is coming, make the next decision sooner and stop waste before it happens.

Read the full story:

The six-month feasibility study will explore how Orderly’s proven QSR technology can help smaller manufacturers cut waste, improve efficiency and adopt AI without enterprise-scale costs.

11/08/2026

Cold chain waste is often treated as a packaging problem. But much of it starts earlier.

Poor forecasting can lead to over-ordering, excess packaging, emergency deliveries and spoiled stock.

By improving ordering accuracy, production planning and stock visibility, businesses can cut waste and cost at the same time.

Our latest article looks at why a greener cold chain starts with better data and better decisions.

The packaging problem, like most waste problems, was decided long before anything reached the bin.

23/07/2026

Most multinational supply chains do not run one operating model.

They run several.

And that variation is not only between countries. Different regions, categories, suppliers and store formats within the same market often need different approaches.

The challenge starts when the technology underneath the operation assumes there is only one model.

That is when exceptions become workarounds, workarounds become spreadsheets, and visibility starts to break down.

Orderly is built to support different supply chain models on the same platform, giving businesses consistent visibility across markets and operations.

Read the full article:

03/07/2026

You thought this was about football.

Surprise. It’s maths.

A 1am World Cup match is not a normal trading window. It changes footfall, delivery demand, stock risk, supplier pressure and what stores need to order.

Our latest article explains why event demand needs a better forecast, and how Orderly helps operators model demand, amend orders and keep stores trading when normal patterns no longer apply.

World Cup demand moves fast, and Orderly helps operators turn fixtures, footfall, supplier constraints and local events into smarter ordering decisions.

02/06/2026

Your procurement team cannot move quickly if supplier data is scattered across emails, spreadsheets and disconnected systems.

When tariffs change, geopolitical risk increases, or a supplier shows signs of financial distress, response speed depends on visibility.

Manual sourcing processes create a single point of failure.

In our latest article, we explain why procurement teams need real-time supplier intelligence, continuous risk monitoring and better decision support at the point of action.

Read the full article:
https://orderly.io/resources/your-direct-sourcing-process-is-a-single-point-of-failure

Manual sourcing processes leave procurement teams too slow, blind, and exposed, while Orderly gives them real-time supplier visibility, risk intelligence, and faster decision-making across complex supply chains.

08/05/2026

Most multi-site operations can absorb a disruption. Once. The second one in the same quarter is where market share moves. Permanently.

Your supply chain looks flexible. It probably isn't.

Often what passes for flexibility is actually just expensive buffer stock hiding poor forecasting. Teams try to cover up uncertainty by ordering more food than they actually need.

Then compound disruption hits.

A weather event delays a regional delivery whilst an unexpected local demand spike clears out shelves nearby. Suddenly that comfortable buffer becomes a massive liability. Spoilage climbs. Waste bins fill up. Margins erode before anyone can intervene.

We see this pattern constantly across global retail networks.

When you rely on reacting to stockouts or scrambling to manage overproduction, the margin is already gone. We believe prevention is the only real optimisation.

We build systems that integrate local events, weather patterns and live sales data directly into daily prep tasks. A kitchen worker gets precise guidance without unnecessary cognitive load. They simply know what to prep and when to prep it.

The operational results become obvious.

-> Better ordering at site level
-> Improved shelf availability
-> Reduced avoidable food waste

Sustainability emerges naturally from this kind of precision. Less food goes in the bin because the underlying operation is structurally sound.

What do you think?

Drop a comment below if you agree that true resilience comes from better forecasting. Like and share if your team prefers preventing problems over endlessly reacting to them.

07/05/2026

The companies gaining share right now aren't growing faster. They diversified sourcing before tariffs hit, before competitors scrambled, before investors started asking questions. What looked like caution in 2023 looks like positioning in 2025.

Risk management used to be a defensive discipline. Today it functions directly as a revenue strategy.

Organisations with multiple sourcing routes secure better valuations because their earnings are structurally protected. They can pivot when policy or demand suddenly changes.

Their competitors end up trapped by single vulnerable jurisdictions.

By 2027 we will see companies without agile supply chains lose up to 20% of their market share to competitors who planned ahead.

Margin protection actually happens at the supply layer.

-> You build flexibility before you need it
-> You secure alternative suppliers early
-> You treat prevention as an operational standard

If your logistics cannot adapt to sudden tariff changes you simply absorb the cost. That loss of margin limits how aggressively you can price your products tomorrow.

Precision at scale means confronting messy environments early...

Those who treat resilience as a growth asset attract stronger capital.

Do you agree that supply chain agility dictates future growth? Like and comment if you refuse to leave your margins exposed to single-point failures.

Need help? Orderly for Distributors can help your enterprise manage hundreds of supplier agreements across the global for an optimal sourcing and supply chain strategy - whilst staying compliant. Contact us for a demo today.

29/04/2026

Better ESG reporting. Same amount of food waste.

That is the outcome at most of the organisations we work with before we start. The data gets cleaner. The dashboards get better. The waste metric barely moves. Reporting and prevention are not the same discipline.

When companies announce sustainability commitments, they usually build separate systems to measure them. Someone starts chasing invoices for carbon data. Suppliers receive retrospective questionnaires.

Meanwhile, the actual operational systems continue running on entirely different logic.

Ordering systems ask what is cheapest or what arrives fastest. They rarely ask for the total cost including carbon or which supplier actually meets the sustainability standards. If a non-compliant option is slightly cheaper, that is what gets ordered. Optimising for immediate transaction costs undermines long-term sustainability goals when those goals fail to exist in the decision architecture.

We see this clearly in food and beverage operations. Over 90% of enterprise carbon footprints come from supply chain operations. Retrospective carbon reporting produces numbers for disclosure. It does absolutely nothing to change ordering behaviour.

You cannot manage what you cannot measure at the source.

When environmental weighting gets built into decision architecture, the system asks different questions before orders get placed.

➡️ Does this supplier meet our certification requirements
➡️ What is the carbon impact of this choice versus alternatives
➡️ Which option balances cost, availability, and environmental performance

The information appears in the exact interface where decisions happen. The buyer does not log into a separate sustainability dashboard. The system surfaces the sustainable option as the recommended choice.

Predictive ordering connected to environmental data changes sustainability from conscious effort to systematic outcome. The system knows what is needed and when. Overproduction becomes mathematically unlikely rather than something needing constant vigilance.

Prevention compounds. Reaction depletes.

What do you think? Drop a comment below if you agree that real sustainability requires operational infrastructure rather than just better reporting.

More than half of executives say data quality is their top ESG challenge. But is the data aligned to the operational reality?

15/04/2026

It records what sold. Not what customers wanted. Every stockout, every substitution, every missed sale disappears from the record entirely. You've been forecasting from a dataset that systematically erases its own failures.

Your demand data has never seen actual demand.

I see operators making heavy commercial decisions based on this fundamental error every single week. They look at their supply chain dashboards and feel confident they understand their inventory needs.

What they are actually seeing is a reflection of their own past constraints.

Take a site that moved a massive volume of winter stock last December. The system flags a clear pattern. It tells the purchasing team to order heavy for the following year.

But the data misses the context entirely.

It completely ignores the unseasonable cold snap that drove people indoors. It misses the competitor down the street who ran out of stock on a Tuesday. It fails to record the local event that increased footfall by a third.

When you base next year's orders on last year's constrained supply, you guarantee future waste.

A store manager experiences an unusually busy Saturday, panics, and over-orders perishable goods for the following week. The weather turns mild. The stock expires. The waste compounds. This structural failure is exactly why the industry throws away billions in food annually.

Intelligent forecasting demands external context.

➔ Weather patterns
➔ Local event footfall
➔ Live competitor availability

When you predict the actual conditions driving the purchase rather than blindly repeating history, you stop the waste before it even enters the depot. Prevention becomes your baseline.

What do you think? Have you noticed this blind spot in your own forecasting data? Drop a comment below if you agree we need to fundamentally rethink how we measure demand.

Read more here:

TL;DR: Supply chain data shows what you shipped, not what customers wanted. This gap costs retailers $1.2 trillion annually in lost sales and drives $18 billion in food waste. Traditional forecasting...

08/04/2026

I recently visited the team at Orderly on Canal Street to hear more about the work they’re doing. Congratulations to CEO, Peter Evans, who was awarded the East Midlands Leadership Award for Green Leader 2026.

It was fascinating to see how technology developed by this local business is helping hospitality and retail companies around the world cut food waste and work more sustainably.

Their technology is shaped by real-world experience and used to solve real-world problems, helping businesses reduce food waste and make better decisions for the planet.

Derby has always had a strong instinct for innovation and problem-solving, and it is always encouraging to see businesses building on that tradition.