From Packaging Data to Better Decisions: How Technology Empowers Change

Technology is changing who can make better decisions

Packaging is a technically sophisticated industry. Even the simplest format depends on complex materials, engineering, manufacturing and supply chains. However, the information businesses need to understand their packaging is scattered across suppliers, procurement systems, product specifications, logistics records and spreadsheets. Some of it exists, some of it doesn't, and what exists is rarely organised for use.

When businesses cannot access and understand information, they cannot make good decisions. Technology can change that by connecting the knowledge of engineers, suppliers, procurement and sustainability teams. By putting information in the hands of people who need it, technology is a way to give people the understanding, context and confidence to decide well. With rising material costs, environmental pressure and regulatory complexity, that matters.

First, collect the information. Then make it meaningful.

A business might manage thousands of products, hundreds of suppliers and multiple packaging formats. The product master holds dimensions and weights. Procurement holds volumes and spend. Suppliers hold specifications. Logistics knows pallet configurations. Each holds part of the picture, in systems never designed to work together.

Phantm's Process Engine extracts information from existing documents, makes connections across sources, maps it into a common data model to show what is already known. Supplier outreach workflows request missing specifications, follow up automatically and bring new information into the same structure.

Collection is only the first step. Value begins when the information is structured so people can use it, building a packaging data asset the business owns and can interrogate over time, and capturing the components, materials, weights and evidence behind every product it buys, makes or sells.

With that asset in place businesses can start to prioritise, because nobody can fix everything at once. Where is the most material consumed? Which formats carry the most spend? Which suppliers bring in the most material? Where is regulatory exposure greatest?

A component costing a few cents looks trivial in isolation. Across millions of units it can mean hundreds of tonnes of material and substantial spend. A low-volume format can carry outsized regulatory risk because of its material or the markets it is sold in. Better information lets businesses prioritise by impact, opportunity and risk instead of by what is easiest to measure.

The data also shows us what we don't know. That is often where the money sits.

Businesses usually see the packaging they buy directly. They see far less of what suppliers introduce, distribution uses or manufacturing removes. Behind a primary pack sit secondary cartons, tertiary packaging, pallet wrap and protective materials, much of it buried in supplier prices or logistics arrangements. A business can end up optimising the part it can see while the bigger opportunity sits elsewhere.

Filling every gap with an estimate creates false confidence. A common data model linked to products and suppliers shows what is known, what is missing and where to look next, so uncertainty can be closed progressively with evidence, supplier engagement and informed assumptions.

Sometimes the most valuable insight is discovering we've been looking in the wrong place.

Improvement is iterative. The value compounds.

Once information is structured and reliable, the question shifts from “What packaging do we have?” to “What could we change, and what would the consequences be?” Some redesigns need investment, testing or more expensive materials. Cutting packaging without protecting the product creates new problems. Better information lets businesses weigh those trade-offs.

Building the asset is a continuous cycle. Technology structures what is available and flags gaps. Suppliers add specifications and evidence. Analysis surfaces anomalies that prompt new questions. Every iteration lets common components be reused, comparable formats benchmarked and initiatives judged against a reliable baseline. Every validated record improves many future decisions.

Technology makes this practical at scale, but people make it work. Suppliers contribute their knowledge, packaging specialists challenge assumptions, procurement teams weigh commercial implications and compliance teams test outcomes against market requirements. When everyone benefits from better information, everyone demands it, and data quality becomes part of how the business runs instead of an annual reporting exercise.

Knowledge changes the balance of power

Packaging suppliers and manufacturers hold deep expertise built over years. Buyers, product managers and sustainability teams often don't. A buyer may know what they are being offered without knowing what else is possible.

Connecting packaging records with material knowledge, comparative data and market requirements narrows that gap and lets buyers ask sharper questions. Engineering decisions still need expertise, testing and validation. The goal is to give buyers the confidence to take part