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APICO

APICO · Project experience

Connecting customer insight with sales decisions

Customer-analysis prototypes and market-mapping work for a plastics manufacturing context, bringing commercial information into a more usable decision workflow.

Sector
Plastics manufacturing
Project stage
Prototype development and integration planning

The business challenge

Commercial teams need to connect customer history, product demand, geographic coverage, and sales priorities. A useful intelligence tool must help people examine those relationships while keeping assumptions and source data clear.

The work developed

Workstream 1

Customer-analysis workspace

Development brought customer comparison, sales trends, product analysis, and geographic views into a shared application structure. The aim was to make customer-level questions easier to investigate without relying on disconnected reports.

Workstream 2

Data preparation and market mapping

The prototype supported spreadsheet imports alongside a separate demonstration dataset. Market-mapping and opportunity-tracking work connected analysis with the next commercial action, while keeping sample data distinct from operational records.

Workstream 3

AI-assisted analysis

Exploratory modules covered narrative insights, forecasting, scenario planning, and report preparation. These were development capabilities to evaluate against real business questions, not evidence of independently measured improvements in revenue or productivity.

Integration and rollout

The work reached prototype development and integration planning. Full AI integration remained incomplete. Operational rollout requires approved data connections, suitable AI tooling, access controls, validation, and clear ownership of the resulting workflows. A functioning demonstration is a step toward that rollout; it does not establish a completed enterprise deployment.

Lessons for the next implementation

  • Separate demonstration data from operational inputs so users can tell what an insight is based on.
  • Connect analysis with a practical sales decision, rather than adding AI features without a defined workflow.
  • Plan data access, tooling, validation, and ownership alongside the application interface.

This portfolio summary reflects work led by Tactics’ founder. It describes project scope and development status and does not imply an organizational endorsement.