Case Studies

June 05, 2026

15 Years Co-Engineering a Fortune 100 CPG Connected-Product Portfolio

15 Years Co-Engineering a Fortune 100 CPG Connected-Product Portfolio

AT A GLANCE

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projects taken beyond prototype into production-grade global product programs

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years of continuous engineering partnership

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R&D disciplines integrated under one program

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product categories — grooming, oral care, home care — in simultaneous global distribution
01

CLIENT OVERVIEW

The client is a Fortune 100 consumer goods company serving more than four billion people across the globe. Their portfolio spans grooming, oral health, personal care, home care, and family care.

Innovation is central to how the business competes. But connected-product R&D demands a level of engineering depth that cannot always be built internally at the speed required. The client needed a partner capable of working inside its category labs, owning outcomes end-to-end, and taking products from early concept through production handoff.

Customers comparing products in a retail store.

Employees

100,000+

Location

Global

Industry

Retail & Consumer Goods
02

BUSINESS CHALLENGE

Taking a connected consumer product from lab concept to retail shelf is not a software or hardware problem. It requires mechanical design, electronics, embedded firmware, mobile apps, cloud platforms, AI, and test automation to move together under the pressure of mass production, safety, regulation, and launch timelines.

Four dimensions made this difficult to solve with a conventional engineering partner.

Discipline Integration

Mechanical, electronics, firmware, software, cloud, and AI had to move in lockstep. Every misalignment affected launch timing, product cost, or quality.

Production Rigor

Concepts and prototypes do not ship. Every deliverable had to survive manufacturing reality.

Innovation-Lab Embedding

External vendors follow instructions. Co-creation partners sit inside the R&D process, share risk, and own outcomes. Few engineering partners are built to operate that way.

Multi-Year Portfolio Depth

Single-project depth is common. Sustaining that depth across multiple categories and product generations is what becomes difficult for competitors to copy.

03

CIKLUM’S APPROACH: EMBEDDED R&D TEAMS WITH FULL PRODUCT OWNERSHIP

Ciklum embedded directly inside the client’s category R&D labs and took ownership across the full product stack: mechanical design, electronics, firmware, mobile, cloud, AI, and validation infrastructure.

This was not staff augmentation. Ciklum teams worked alongside the client’s R&D leadership, against the same roadmaps, timelines, and product outcomes.

Over 15 years, the partnership evolved in three clear phases: from specialist embedded systems support, to integrated product engineering squads, to full-stack experience engineering across product, firmware, AI, and connected platforms.

04

HOW CIKLUM MADE IT WORK

Ciklum teams worked inside the client’s category R&D labs. Over time, that created product memory a traditional vendor model cannot build: what had failed before, what had worked, and what each new product generation needed to improve.

Ciklum managed mechanical design, electronics, firmware, mobile, cloud, AI, and testing as one connected program. Decisions were made with full product context, not passed between disconnected teams.

For an award-winning connected personal care device, Ciklum owned mechanical, electronics, firmware, and mobile delivery. The product included a novel dual-axis mechanism, integrated heating, wireless charging inside a watertight enclosure, and drop-test compliance.

Ciklum built cross-device firmware and test infrastructure that could be reused across product families. Each new SKU did not need to start from zero. The investment was made once, then carried forward across the product portfolio.

Using only the sensors already in the bill of materials, Ciklum added ML-based usage-pattern recognition to products already on shelves. No redesign. No increase in device complexity. It became the foundation for a new product line.

Ciklum built a passive ML algorithm that used dispenser telemetry to identify usage patterns without requiring active consumer input. That data fed consumer insight and replenishment use cases, turning everyday product interaction into a source of business intelligence.

For an at-home personal care device, Ciklum engineered a companion app that gave users real-time personalized guidance across body-area targeting, skin-tone suitability, and adaptive coaching. The app helped turn consumer uncertainty into confidence at the point of use.

05

THE RESULTS

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projects taken beyond prototype into production-grade global product programs

0 +

years of continuous engineering partnership inside category R&D labs

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hardware changes to add AI to existing SKUs

Reusable firmware and test infrastructure scaled across multiple product families

Multiple industry awards for connected devices

Production-grade connected products shipped to global markets, not left at prototype stage

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