Scaling Assortment Without Scaling Headcount
Starting Point, Goals & Outcomes
A leading European pharmaceutical retailer wanted to grow its product assortment significantly — without adding headcount. The bottleneck was not a lack of tools or talent. Product onboarding and data management processes were manual, fragmented, and slow. From strategic assortment planning through supplier evaluation to product go-live, every step involved handoffs, redundancies, and friction that no single team could see end-to-end.
TFN was engaged to map the entire product lifecycle, find where time and effort were lost, and deliver solutions — starting with the simplest fixes that would have the biggest effect. The engagement spanned Category Management and Product Data Management, with end-to-end accountability.
The result: a prioritized roadmap of approximately 20 solutions, teams enabled to remove their own friction, an AI-powered data enrichment tool now running in production, and a conceptual design for AI-native product selection that has been absorbed into the client's strategic roadmap.
~20
stakeholder interviews conducted
~20
solutions identified
80%
reduction time
1
AI-powered tool
Approach
Future Outlook: AI-Native Category Selection
Quick wins and working software solved immediate pain — but TFN did not stop there. With product data enrichment addressed, the team identified product selection and onboarding as the largest remaining opportunity and designed a target architecture to aim for. The concept consolidates fragmented data sources — BI systems, on-site search data, supplier performance, market intelligence — into a unified scoring system. It follows a deliberate maturity path: start with rule-based scoring, feed decisions back into the system, and transition from semi-automated to fully AI-enabled selection over time. This vision gives the client a clear trajectory, not just a collection of fixes. The work became the foundation for TFN's generic Agentic Assortment Builder solution and has been handed over to the client as part of a larger internal initiative.
TFN conducted approximately 20 stakeholder interviews across Category Management and Product Data Management. The goal was not to audit individual tools, but to trace the entire product lifecycle — from assortment strategy to product go-live — and understand where the real friction lived. Many bottlenecks turned out to be process gaps and missing configurations, not missing technology.
The analysis produced a prioritized list of roughly 20 solutions. TFN started with quick wins — the changes that required the least effort but removed the most friction. Many needed no new technology at all: RPA scripts for manual Excel-based workflows, adding auto-release fields to existing PIM and ERP systems, streamlining handoff processes between teams. Critically, TFN did not implement these as an outside team and hand them over. The focus was enablement: working alongside the client's teams so they could identify and remove friction themselves, using tools and capabilities already available to them. The simplest solution that works is the right solution.
Where quick wins were not enough, TFN moved to prototyping — but only after validating assumptions. For the product data team, the hypothesis was that missing product information could be reliably sourced from official manufacturer websites and transformed into brand-consistent descriptions automatically. TFN built a lightweight prototype to test exactly that. Only after proving feasibility and reliability was the solution migrated to the client's AI platform in collaboration with their internal AI team. It now runs in production and has reduced the time to enrich product data by approximately 80%.
The TalentFormation Factor_
This engagement followed TFN's core methodology: Understand, Hypothesis, Prototype, Working Software. But the methodology is not a prescription for complexity — it is a framework for using the right tool at the right moment. Simple process fixes where they work. Enablement so teams own their improvements. Prototypes to test risky assumptions before committing investment. And a long-term vision to ensure quick wins add up to something bigger.
The client saw results early — not a strategy deck after months of analysis, but working improvements within weeks. And the solutions that required real investment had already proven their value before a single line of production code was written. That is the TalentFormation factor: pragmatic speed, evidence at every step, and a vision worth building toward.