What information helps prospects judge our offering’s fit?

Prospects who understand an offering's general concept may still need practical specifics before they can judge its relevance. For Dematic's Micro-Fulfillment offering, the approach centred on customers who understood the concept but needed to explore how it could work for their business. A straightforward online configurator guided e-commerce, supply chain and other customers through a brief set of questions, helping explain the solution while gathering customer information to inform sales discussions. The useful practice is to address the remaining questions about applicability, rather than repeat an introduction the buyer no longer needs. Gartner's 2026 guidance on buyer-facing information similarly prioritises explaining how a solution improves outcomes in the buyer's particular role and business context over distributing static collateral.

A prospect needs a route to relevant expertise, not simply access to a large collection of material. UST, a global digital transformation consultancy, had an extensive library about its AI expertise, but prospects often struggled to identify the resources most relevant to their needs. The NavigatorAI brief therefore focused on connecting users with tailored insights while showcasing UST's AI capabilities. The practical distinction is between making expertise available and helping an individual find what matters. The UST challenge also identified a limitation of traditional digital assessments: predefined datasets and fixed outputs can produce recommendations that feel generic rather than genuinely personalised. Connecting needs with useful insights should guide the experience.