Business Problem

• Unclear Product Vision in a Competitive Market: The client needed a clearly defined digital product roadmap aligned with investor expectations and market trends. With limited in-house expertise in AI and platform strategy, they needed external help to define which products or services would differentiate them in the industrial technology space.

• Absence of Predictive Analytics and Root-Cause Intelligence: With no predictive modeling or embedded analytics, customers were unable to foresee compliance risks, detect usage anomalies, or perform early intervention. This reactive approach reduced reliability, increased risk exposure, and hindered operational optimization efforts across manufacturing environments.

• Lacking Data Insights: The lack of data insights impacted critical decision-making, affecting the maintenance and improvement of OEE and the achievement of the manufacturing plant’s daily, weekly, and monthly goals. This hindered proactive equipment maintenance, increased downtime, and reduced overall operational efficiency on the manufacturing floor.

• Flat Revenue Growth from Existing Clients: The client had strong customer relationships but needed new avenues to increase their share of the wallet. Without digital products that added new value, many opportunities to deepen engagement and grow revenues were left on the table.

• Lack of Differentiation Amid Competition Ecosystem: As competitors began adopting AI and data-driven offerings, the client sees an opportunity to provide this ecosystem with a data platform to bring more AI value to manufacturing companies under one unified platform.

Solution Approach

• Customer & Product Fit Strategy: We evaluated customer segments, AI use cases, and unmet needs to define positioning of new AI and data platform and select customer segment in the market place that differentiated AI and Data platform in a unique way to address recurring operational pain points such as compliance tracking, warranty, equipment wear, and failure prediction.

• Category & Competitor Analysis: Using the NextGen Invent strategy framework, we created a strategy map that categorized industry products, revealed white spaces, and aligned the client’s offerings with high-growth, investor-preferred categories along with categories in which partnerships will be more beneficial.

• Feature Analysis: We analyzed over 600+ features provided by 60+ competitors. This allowed us to define a compelling and differentiated feature set tailored to selected customer segment needs.

• Defined Technology Roadmap & MVP: A phased roadmap was developed, prioritizing key modules and AI capabilities for the MVP. We identified a scalable architecture, core tech stack, and a build-vs-partner strategy that minimized time-to-market while maximizing innovation.

• Resource & Implementation Plan: To ensure execution success, we created a detailed resource plan, estimates, and product development blueprint, from architecture design to MVP rollout and scaling.