How Xmartlabs cut concept-to-decision time by 75% for a multinational CPG brand by replacing sequential validation with AI-assisted parallel workflows.
Industry
Consumer Packaged Goods
Duration
4 months
Service
Custom Software + AI Integration
Team
6 cross-functional engineers
Context
A multinational consumer goods company with 200+ SKUs across Latin American markets set out to accelerate how they brought new products to life. Their innovation cycle — from opportunity identification to launch — took 8 to 14 months, a timeline that was increasingly difficult to sustain as consumer trends began shifting in weeks.
The innovation team worked with market research reports, cross-departmental spreadsheets, and weekly alignment meetings — tools that had supported their process but were becoming a bottleneck as the pace of the market accelerated. Their goal was clear: connect market data, consumer feedback, and production capabilities into a more responsive workflow. Not “more AI” as a buzzword — but targeted technology applied to specific operational constraints.
Challenge
Approach
We worked in three phases with a lean, cross-functional team of 6. The biggest risk was not technical — it was adoption. Previous tool rollouts had burned the supply chain team, so we dedicated 20% of the project to hands-on workshops that co-designed workflows with them instead of training them on a finished tool.
Results
The rebuilt innovation pipeline delivered measurable impact across every key dimension — not just speed, but throughput, operational load, and cross-department alignment.
Technology
LLMs applied where they create the most value: synthesizing fragmented data and automating the waiting time between human decisions.