COUNTRY

Finland

TEAM SIZE

5

BUDGET

80k

INDUSTRY

Retail

TECHNOLOGIES

Vue/Java

About the Project

RoomRaccoon had built a focused SaaS stack for independent and boutique hoteliers: a cloud PMS that tightly integrated with a two-way channel manager and a commission-free booking engine, plus payments and partner integrations to manage the full guest lifecycle. Hoteliers used the platform to accept direct bookings, synchronize inventory across dozens of OTAs, manage front-desk and housekeeping operations, and reconcile payments — all under a single subscription billing model that emphasized transparent pricing for small and medium properties. RoomRaccoon scaled organically across Europe and published regular product growth updates as it broadened its partner network.

Challenges in Development

Data quality & instrumentation

Ensuring complete, timely product catalog and event streams (views, adds, purchases) was required so models could learn relevant signals and avoid noisy personalization.

Latency & front-end integration

Delivering real-time, low-latency recommendations across high-traffic pages required efficient widget loading strategies and CDN-friendly assets to avoid impacting page speed.

Measuring incremental impact

Proving attribution for personalization (isolating lift vs. baseline merchandising) demanded rigorous experimentation and reliable analytics instrumentation.

Solutions: Our software agency provided

We hardened upstream data streams and built validation tooling so Nosto’s AI had reliable event and catalog inputs for training. We layered a merchant-friendly control surface on top of automated recommendations so merchandising teams could run scheduled overrides and inventory-safe campaigns. We optimized the widget for low-latency rendering with edge caching and robust fallbacks to preserve page performance. Finally, we delivered experiment tooling and attribution dashboards that proved personalization lift and accelerated rollout to additional stores.

QUODD Screenshot
QUODD Screenshot
Key Features of the Application

1. Personalized Product Recommendations

Nosto served AI-driven product recommendations (browsing, cart, cross-sell and post-purchase) that adapted to visitor behavior and drove higher click-through and conversion.

2. Personalized Search & Merchandising

The company delivered a personalized search product with NLP, merchandising rules and scheduled overrides so teams could promote inventory and improve discovery during campaigns.

3. Content Personalization & Segmentation

Nosto customized banners, landing pages and content blocks in real time by segment, increasing homepage relevancy and conversion for targeted cohorts.

4. Email & Cross-Channel Recommendations

The platform exported personalized recommendations to email and other channels so brands could maintain personalization across touchpoints.

5. A/B Testing & Analytics

Nosto provided experiment tooling and analytics so merchants measured CVR, AOV and revenue lift from personalization campaigns.

QUODD App Screenshot
Technologies We Use in This Project

The solution improved user engagement, and a pilot adoption rate exceeding expectations.

Results & Business Impact — Revenue & Engagement Outcomes

Merchants that used Nosto reported measurable uplifts in conversion and AOV in multiple case studies: for example, Do It Center’s Nosto-powered experiences generated ~13% of online sales and substantially improved conversion and visit value. Nosto’s personalized search and merchandising work produced big CTR and conversion gains for fashion brands (A.L.C. doubled CTR for search) and specialty retailers (Volcom achieved multiples in conversion with homepage personalization). Experimentation and cross-channel recommendations increased post-click conversion and per-visitor revenue for brands like Dermalogica, which recorded a ~6.9% AOV improvement from bundled/personalized experiences. Collectively, these outcomes validated that data-driven personalization increased engagement, revenue and campaign ROI.

Genie App Screenshot