TPD USA Ltd
TPD USA Ltd
Vancouver, British Columbia, Canada
Description

For over 40 years, TPD has helped thousands of organizations meet the challenges of a constantly evolving talent landscape.

Today, our Total Workforce Solutions approach is focused on delivering best-in-class staffing and recruiting services across North America to the Light Industrial and Mining sectors.

Number of employees
51 - 200 employees
Company website
https://tpd.com
Industries
Human resources & recruitment

Recent projects

Resource Revitalization for Lead Generation

Audit, refresh, and rebuild TPD's downloadable resources (like guides and whitepapers) to support lead generation and add real value for prospects and clients in our key industries: mining, semiconductor, and manufacturing. Roles & Responsibilities Business Intelligence & Customer Research: Learn how TPD delivers value through recruitment and workforce solutions, define our ideal customer profiles by industry and role, and research (may include primary and secondary research) what kinds of content actually help hiring managers (interview guides, onboarding checklists, workforce planning tools). Strategic Content Audit & Analysis: Review our website, Google Drive, and internal documents to identify all existing assets, evaluate each for content quality and market relevance, and flag outdated materials while noting gaps where new content is needed Content Creation & Brand Optimization: Update existing resources to match current brand standards and market needs, create 2-3 new assets (interview guide, compensation trends, how-to-hire playbook) based on research findings and client pain points, and ensure content aligns with TPD's value proposition. Marketing Operations & Distribution Strategy: Map out how prospects discover and access these resources via web, email, and sales outreach, recommend follow-up workflows including automated sequences and sales alerts, and suggest tracking engagement through CRM and marketing tools

Admin Nikita Weisgerber
Matches 0
Category Market research + 4
Open

Sales Script and Process Optimization Project

The main goal for the project is to optimize the sales scripts and processes for TPD USA Ltd. The project will involve validating the target market and key decision makers, analyzing sales data in Gong and Bullhorn to determine best practices, and creating sales scripts and processes for optimal close rates.

Admin Nikita Weisgerber
Matches 0
Category Market research + 1
Closed

Gong to Bullhorn Integration Project

The main goal for the project is to integrate Gong, a meeting recording and AI tool, with our CRM system, Bullhorn. This integration will eliminate the need for the sales team to log calls manually and will provide further analytics to identify which calls result in a won opportunity. The integration will streamline the sales process and provide valuable insights for improving sales performance. This will involve several different steps for the team, including: - Understanding the open API of Gong and Bullhorn to identify integration points. - Developing the necessary software to connect Gong and Bullhorn and automate call logging. - Implementing the integration to ensure seamless data flow between the two systems. - Testing the integration to ensure accuracy and reliability of call data. - Analyzing the additional analytics provided by Gong to identify calls resulting in won opportunities.

Admin Nikita Weisgerber
Matches 0
Category Artificial intelligence + 2
Closed

Artificial Intelligence Roadmap for TPD

Our company advertises thousands of products, and we want to leverage the latest technology to gain market advantage. Applications of this technology include recommendation algorithms, predictive analytics like lifetime values, fraud detections, and classifications. We would like to collaborate with students to apply the latest artificial intelligence (AI) and machine learning (ML) techniques to our existing dataset. Students will develop an AI / ML model related to any of the aforementioned applications. This will involve several different steps for the students, including: Conducting background research on our existing products and the dataset. Analyzing our current dataset. Researching the latest AI / ML techniques and how they could be applied to our data. Developing an AI / ML model that provides unique outcomes or insights into our data. Providing multiple solutions that can be applied to solve the same problem.

Admin Nikita Weisgerber
Matches 0
Category Data analysis + 4
Closed

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