CPO Revamps eCommerce and User Experience

CPO, a leading U.S. tool retailer, sought Visionet’s expertise to create a more engaging and profitable online shopping experience through Salesforce technology.

Challenges

CPO's eCommerce site, based on an outdated platform, struggled with poor user experience, limited customer engagement, and low visibility into performance metrics. The site’s structure primarily served shoppers who knew exactly what they needed, while the understaffed eCommerce team was stretched thin, unable to focus on strategic improvements or optimize for SEO.

Revamping eCommerce Experience for Rebecca Taylor

Visionet improved Rebecca Taylor's eCommerce experience by revamping the "customer stories" feature, which enabled merchandisers to boost social engagement. An AI-driven product recommendation engine was also implemented to enhance cross-selling opportunities.

Challenges

Rebecca Taylor is a womenswear brand inspired by beauty in the everyday. Rebecca Taylor reached out to Visionet to help unify their customer experience across different sales channels, including eCommerce.

A Leading Women's Apparel, Accessories, And Home Décor Retailer Organically Improves Its Growth Indicators

Seeking to reinvent its sitewide user experience, the client leveraged Visionet’s comprehensive digital consulting services packaged with modern commerce and SEO technologies — enabling an end-to-end eCommerce site transformation, improved share of voice, and continued differentiation.

Fueling Efficiency: Lubricants and Energy Services Provider Transitions to Dynamics 365

Our client, a premium oilfield chemicals supplier, and energy-related services provider collaborated with Visionet to modernize its processes and upgrade from Dynamics AX 2012 to Dynamics 365. Find out how this digital transformation has enhanced their operational efficiency and ensured continued industry competitiveness.

Seamless Cross-Channel Communication and Collaboration

Challenges

The client needed to better govern and support the global field force. They needed a technology solution to track and monitor the work and productivity of field employees to better manage the effectiveness of their field programs.

To ensure the efficacy of new programs they needed a system to communicate and collaborate with a larger network of end users, retailers, distributors, field contract workers and field employees.

For management decision making they needed an analytics platform that provides actionable insights on the captured field data.

Transforming KUIU eCommerce Operations

Challenges

KUIU is a specialty manufacturer dedicated to providing mountain hunters the most advanced clothing and equipment at unbelievable prices. The uncompromising quality of their products led to an explosion in demand that their existing eCommerce infrastructure wasn’t prepared for. KUIU needed a scalable solution that offered a highly personal shopping experience and helped customers explore KUIU’s product line more easily.

 

From Inaccurate Forecasting to Profitable Supply Chain: The Impact of Visionet's Next-Gen AI Solution on a Home Goods Store Chain

A leading home goods store chain was facing reduced ROI of excess inventory as a result of inaccurate forecasting. This was leading to inefficiencies in their supply chain and decreased profitability. After they chose Visionet’s next-gen AI Forecasting Solution, the dollars, previously buried in the excess inventory, are now utilized in avenues of optimal return. 

Transforming A Leading FMCG's Data Infrastructure For Improved Distributor Management and Business Growth

The case study is about a multinational consumer goods company that operates globally and owns over 400 popular brands. Due to the size of its distribution network, the company was generating large volumes of raw data daily and struggled to track key performance indicators and track distributor performance. To address these challenges, Visionet implemented a modern data platform to store and process large amounts of data, which also empowered the client to easily analyze and decipher the data without creating dependencies on the internal IT team.