Key takeaways:
Behind every bestseller lies a highly orchestrated supply chain strategy. For HarperCollins, managing global inventory meant wrestling with unpredictable demand spikes and complex production lead times. To drive smarter allocation and replenishment decisions, the publisher had to modernize its operations and bring finance, sales, and inventory together onto a single, dynamic platform.
The supply chain of a bestseller
Despite the rise in digital reading, physical books still account for a majority of HarperCollins’ sales. Managing the supply chain for these physical copies is incredibly nuanced because every title represents a unique forecasting challenge.
A standard hardcover takes about ten weeks to print. Conversely, Bibles — which require ultra-thin paper, specialty binding, and unique covers — can take six to nine months and rely on specialized overseas printers.
Getting the replenishment cycle wrong on book printings has serious consequences: stockouts during peak market interest, for instance, that can stall an author’s hard-earned momentum, or warehouse bloat and markdown risks when a trend cools.
Historically, coordinating these timelines was a fragmented process. Sales would forecast demand, finance would set budget targets, and inventory teams were left trying to calculate exact production runs. Operating across legacy applications and manual spreadsheets meant it could take weeks just to aggregate the data needed to make an inventory decision.
Starting smart to align teams and data
Instead of an overwhelming system overhaul, HarperCollins began their planning transformation using Anaplan to modernize FP&A for their children’s division. The immediate goal was simple: get the finance team out of error-prone spreadsheets.
The success of that initial solution implementation built immense confidence within the executive team. HarperCollins then introduced the sales team to the Anaplan platform, appealing to their desire to move off an aging legacy application. By focusing on solving the immediate, day-to-day frustrations of its users, HarperCollins smoothly transitioned the organization toward a highly collaborative and aligned planning model.
A new era of cross-functional collaboration
The business impact of moving to a single source of truth was transformative. Sales, finance, and inventory teams now share the same real-time data and decision infrastructure. If sales updates a demand projection based on emerging retail trends in the morning, finance and inventory can see and act on it by the afternoon.
This agility is vital in the publishing world, where breaking news, a viral social media trend, or an unforeseen event can cause a book’s demand to skyrocket overnight. Previously, if a sudden spike required a fast-tracked domestic printing run to replenish retail shelves, teams lost valuable time just gathering the data to see if it was financially viable. With Anaplan, all stakeholders can evaluate lead times, unit costs, and projected margins simultaneously. This provides the granular forecasting capabilities needed to make confident, collaborative supply chain decisions in days rather than weeks.
The blueprint for supply chain resilience
While HarperCollins operates in the unique world of publishing, the supply chain challenges they face mirror the complexities found across global enterprises. Whether you are navigating volatile manufacturing lead times, trying to optimize warehouse capacity, or reacting to sudden market shifts, relying on siloed data limits your ability to act.
Anaplan’s AI-driven scenario planning and analysis platform empowers organizations to bring supply chain, sales, and finance teams into a unified, dynamic environment. By aligning their cross-functional data and teams, leaders gain the end-to-end visibility needed to sense disruptions early and pivot instantly.
Instead of spending weeks untangling spreadsheets and debating whose numbers are correct, your teams can collaborate in real time, ensuring your supply chain strategy is consistently aligned with your financial goals and market demand.
