Twelve percent off the wage bill, starting with twenty stores.

The customer is one of Europe's largest pharmaceutical wholesale and retail groups, operating a pharmacy network across more than two dozen European markets, with 40,000+ employees, 2,700+ own pharmacies, and 161 distribution centers. Most workforce projects begin with a schedule. This group did the opposite. It started with the forecast.

Every minute a customer waits in a pharmacy is a satisfaction risk and a revenue risk. But a pharmacy cannot simply overstaff its way out of that risk, because the margins do not allow it. So the real question was never how to assign the shift. It was how to know, by location, by day, by hour, how many people the counter would actually need before the schedule was ever published.

Across thousands of pharmacies, in markets with different customer volumes, seasons, and local rules, that question had no standard answer. Some locations overstaffed and wasted money; others understaffed and wasted goodwill. The variance itself was the problem, and it was being managed by historical habit and a manager's read of the room. The group had years of operational data and no system to turn it into a staffing prediction a scheduler could act on.

So the question stopped being which platform had the most features. It became whether a forecast built on their own history could predict demand well enough to be trusted with the wage bill, store by store, country by country.

Instead of committing the whole continent to a vendor's promise, the group made WorkAxle earn every expansion with results. WorkAxle built a demand forecasting model from the group's own operating reality, customer traffic patterns, pharmacist-to-customer ratios, regulatory staffing minimums, labor cost targets, then tested it against two years of the group's actual operational data.

Not a demo on synthetic numbers. A proof run against real store performance, real staffing patterns, and real customer outcomes. With a data-validated model in hand, leadership approved a live pilot on their own numbers, not on a sales projection.

WorkAxle deployed demand forecasting across roughly twenty pharmacies in one European market. The pilot tested the model under real operating conditions, with real pharmacists, real customer traffic, and real seasonal swing. Pharmacists and store managers fed back what the forecast got right and wrong on the floor, and the model was refined against that feedback.

Only then did the group scale, expanding to roughly one hundred stores across that country's network. The same model is now being extended to other markets across the group's footprint of 2,700+ pharmacies in more than two dozen countries. Twenty stores, then a hundred, then the continent: each step validated before the next began.

The difference came from three things: the model was built on the group's own history, so it predicted their demand rather than a generic pharmacy's; the rollout was phased, so no one had to bet thousands of locations on faith; and forecasting led the way instead of trailing behind scheduling.

WorkAxle is a compliance-first enterprise workforce management platform, purpose-built for regulated organizations with multi-jurisdiction, multi-union workforces. From demand forecasting to payroll integration, it provides the operational layer for enterprises where labor rules are too complex for generic tools. WorkAxle is a Workday Innovation Partner (Silver), Design Approved and listed on the Workday Marketplace, and an SAP partner (SAP PartnerEdge) with a SAP SuccessFactors integration.