Custom Training Solutions
for Consumer Goods Teams
Deliver personalized
learning
Close skill gaps
Establish cost-effective
training operations
Elevate your Consumer Goods team with quality custom training content.
Training and Development Manager, New York, NY
eLearning Solutions Company is fantastic! Their products are innovative, user-friendly, and do an excellent job presenting the training content. I'm so grateful for their help, we were able to reach our training targets and stay on track with the business goal. I would gladly recommend this team to anyone looking for an effective online learning curriculum.
Senior Learning Evangelist, Tallahassee, FL
This company develops superior custom learning courses. Their comprehensive approach to content processing and engaging delivery greatly simplified complex topics for my internal learners. They offer quality courses that are well-suited to self-paced learning. The courses we received are an invaluable educational resource for us.
Senior Traning Manager, Richmond, VA
The ELS team is incredible, very talented, and very skilled! They've transformed the boring courses we've been using until now into content that is fun, engaging, and interactive. Every slide is meticulously designed and serves a purpose. I absolutely recommend ELS as my #1 contractor for anything learning-related.
VP of People Operations, New York, NY
The eLearning Solutions Company has revolutionized learning for our team with their innovative AI chatbots. We now have interactive and engaging modules that have improved our learning completion metrics as well as knowledge retention. AI was an excellent and forward-thinking approach! I highly recommend this company.
Program Manager, San Francisco, CA
eLearning Solutions Company has exceeded my expectations. Their interactive modules are brilliantly designed, informative, engaging, and incredibly intuitive. The support and communication I received throughout the project were fantastic as well. I will certainly trust this team with my future learning and development needs.
Head of Human Capital, Hoboken, NJ
This company is fantastic! We had a very tight deadline, and I'm glad that we selected the right contractor to outsource our learning needs. I highly recommend them to anyone looking for a reliable external learning development partner.
Chief Learning Officer, Las Vegas, NV
eLearning Solutions Company offered an exceptional development process, truly transforming our training modules. Their innovative solutions, professionalism, and project management are incomparable. They are a valuable resource for any company's elearning needs.
Lead Learning Designer, Sacramento, CA
The eLearning Solutions Company profoundly enhanced our elearning capabilities. Their tailored solutions and exceptional support services are second to none. The new courses are truly a game-changer for our training program. Highly recommended!
Managing Director, New York, NY
eLearning Company is phenomenal! The training materials they created for us are clear, engaging, and easy to follow. Our team's skills and knowledge improved significantly. I highly recommend this company for enriching professional development.
Head of People, Boston, MA
I can honestly say that your team has delivered beyond my expectations. Every single one of the elearning modules is top-notch, engaging, and well-thought-through. The interactive content has truly helped us deliver the message and make sure it sticks. I would highly recommend your approach and the innovative learning solutions you deliver!
HR Manager, Chicago, IL
My experience with eLearning Solutions Company has been exceptional. They provided a stellar development service with utmost professionalism and efficiency. Their user-friendly designs and innovative learning strategies surpassed my expectations! They are true leaders in the elearning industry.
for the Consumer Goods industry
Microlearning Modules
Bite-sized lessons that deliver focused knowledge quickly and efficiently.
Example:
Brief visual lessons cover good manufacturing practices, sanitation procedures, allergen controls, labeling rules, planogram execution, and customer service. These modules are suitable for shift huddles and seasonal ramp‑ups.
Engaging Scenarios
Interactive stories that let learners practice decision-making in realistic contexts.
Example:
Interactive scenarios present situations such as handling recalls, triaging out‑of‑stock items, resolving promotional pricing conflicts, and managing damaged goods. Learners see how their decisions influence shrink, waste, and customer satisfaction.
Tests and Assessments
Quizzes and evaluations that measure understanding and track progress.
Example:
Randomized assessments verify knowledge of allergen segregation, date code interpretation, country‑of‑origin rules, and packaging integrity using image‑driven items.
Personalized Learning Paths
Customized content sequences tailored to each learner’s goals and needs.
Example:
Personalized learning paths adjust according to role—production, quality assurance, warehouse, merchandising, field sales, or customer experience—and product category. Performance scores and seasonal needs determine which modules come next.
Performance Support Chatbots
On-demand digital assistants that provide just-in-time answers and guidance.
Example:
Staff can use a chat assistant to request hold or release procedures, look up lot traceability, get planogram tips, or check return policies. The bot references standard operating procedures and brand guidelines directly within the chat.
Online Role-Plays
Simulated conversations or interactions that help learners build real-world skills.
Example:
Online role‑play exercises allow learners to practice conversations with buyers, store managers, or upset customers about shortages, substitutions, and delays. They receive coaching and can repeat the scenarios.
Compliance Training
Structured programs that ensure employees meet regulatory and organizational standards.
Example:
Compliance training prepares teams for audits by covering topics such as food safety and hazard analysis critical control points, cosmetics good manufacturing practices, product safety, privacy regulations, anti‑harassment policies, and environmental requirements. Sector‑specific examples make the content relevant.
Situational Simulations
Immersive activities that replicate real-life challenges in a risk-free environment.
Example:
Simulations model scenarios like production line changeovers, distribution center surges, weather disruptions, and executing product recalls. Learners must balance throughput, waste, and service while working under time pressure.
Upskilling Modules
Targeted courses designed to expand knowledge and build new competencies.
Example:
Upskilling modules teach lean manufacturing principles, overall equipment effectiveness, sensory evaluation, category management, and excellence in e‑commerce content. Learners can earn badges to mark their advancement.
Problem-Solving Activities
Exercises that strengthen critical thinking and practical problem-solving skills.
Example:
In these activities, teams analyze instances of increased waste, mis‑picks, or shelf non‑compliance. They propose solutions and compare their approaches with best‑practice playbooks.
Collaborative Experiences
Group learning opportunities that encourage teamwork and knowledge sharing.
Example:
Collaborative experiences bring together brand, operations, sales, and supply chain teams to align on product launches and seasonal plans. They use shared boards, asynchronous comments, and decision logs to coordinate.
Games & Gamified Experiences
Play-based learning methods that motivate through competition, rewards, and fun.
Example:
Gamified refreshers include activities such as identifying hazards, answering lot code quizzes, solving planogram puzzles, and tackling challenges to reduce waste. These games make training engaging and measurable.
1
Skill Growth
Custom training builds real-world competencies step by step, giving learners the confidence and ability to perform effectively.
2
Employee Engagement
As learners see their skills improving, they become more invested and motivated, deepening participation in the training process.
3
Organizational Readiness
This combination of stronger skills and higher engagement ensures the workforce is prepared, compliant, and aligned with organizational goals.
in the Consumer Goods Industry
40%
Less Time Spent on Training
Online learning requires less than half of the time that would be needed for in-person training.
70%
Efficient Experience-Based Learning
Up to 70% of adult learning occurs through hands-on experiences. Online task simulators allow practicing and making mistakes in safe environments.
94%
Higher Learner Satisfaction
94% of adult learners prefer to study at their own pace and on their own schedule.
in Consumer Goods
AI-Powered Chatbots and Virtual Coaching
These are conversational agents (often built on advanced language models) that can interact with employees in natural language – answering questions, providing feedback, and even coaching in a human-like manner. L&D decision-makers are increasingly adopting these tools to offer on-demand assistance and personalized guidance.
24/7 Learning Assistants
AI chatbots serve as always-available tutors or helpdesk agents for learners. Employees can ask a training chatbot to clarify a concept, provide an example, or troubleshoot a problem at any time. Many companies have integrated such bots into their learning platforms or collaboration apps. According to industry research, virtual assistants and chatbots are now being deployed to handle routine learner queries and provide instant feedback on quizzes or exercises. This immediate support keeps learners from getting stuck and enables more self-directed learning. It also reduces the burden on human instructors or IT support for common questions.
Example:
Line leads, merchandisers, and customer experience representatives can request procedures or policies—such as hold and release steps, allergen cleanup protocols, or substitution rules—and receive answers with links to the relevant sources.
Feedback and Coaching
Beyond Q&A, AI coaches can give real-time feedback on performance. Modern AI tutors use natural language understanding to evaluate free-form responses and deliver personalized coaching, just like a digital mentor. L&D leaders find these applications instrumental in achieving training goals; surveys show high ROI of using AI chatbots to offer real-time feedback and guidance during learning.
Example:
When users record a buyer pitch, a shelf reset walkthrough, or a service call, AI provides feedback on phrasing, suggests empathetic language, and ensures compliance with policies.
Scenario Practice and Role-Play
A cutting-edge use case of AI chatbots is powering immersive role-play simulations. AI characters can simulate realistic dialogues with learners. Users can practice a coaching conversation with an AI-driven avatar that responds dynamically. Many organizations have already implemented this type of learning interaction, enabling learners to practice difficult conversations in a safe, simulated environment and receive instant constructive feedback. The AI can adapt its responses based on what the learner says, creating a tailored scenario and coaching the learner on their choices. This moves training beyond scripted e-learning into interactive learning-by-doing.
Example:
Virtual avatars simulate retailers, inspectors, or customers. They respond to the learner's tone and decisions, allowing staff to rehearse challenging conversations in a safe environment.
coaching can help you improve training outcomes.
Automated Assessments and Intelligent Feedback
AI is transforming how companies assess learning and evaluate competencies. Traditional training assessments (quizzes, tests, assignments, etc.) can be labor-intensive to create and grade, and they often provide limited feedback to learners. AI is changing this by enabling more automated, intelligent assessment methods.
Auto-Generated Quizzes and Exams
Using generative AI, L&D teams can automatically create pools of quiz questions, knowledge checks, or even complex case-study exams. Given a training document or video, an AI tool can generate relevant questions to test comprehension. This not only speeds up assessment development but can also produce a wider variety of test items (reducing over-reliance on a few repeat questions). By automating quiz generation, trainers ensure assessments are always fresh and stay aligned with up-to-date content and learning goals.
Example:
When specification sheets or standard operating procedures are updated, AI generates new question banks, including image identifications, sequencing exercises, and scenario questions. Subject matter experts review the questions to ensure accuracy.
Automated Grading and Evaluation
Your AI-powered training tool can grade many types of learner responses automatically, far beyond simple multiple-choice scoring. Natural language processing models are capable of evaluating open-ended text responses, short essays, or even code snippets by comparing against expected answers or rubrics. This is particularly useful for large companies that need to assess thousands of learners efficiently and do it in a way that offers personalized feedback and recommendations.
Example:
AI evaluates video demonstrations of sanitation procedures, changeovers, or shelf resets using defined evaluation criteria. It provides consistent feedback across all participants.
AI-Assisted Feedback and Coaching
Beyond Q&A, AI coaches can give real-time feedback on performance. Modern AI tutors use natural language understanding to evaluate free-form responses and deliver personalized coaching, just like a digital mentor. L&D leaders find these applications instrumental in achieving training goals; surveys show high ROI of using AI chatbots to offer real-time feedback and guidance during learning.
Example:
The system analyzes recorded demonstrations, examining voice, timing, and body mechanics. It flags specific issues, such as a missed glove change, at the exact time they occur.
Fairness and Consistency
AI-based assessment can also improve consistency in scoring and reduce human bias in evaluations. Every learner is judged by the same criteria, and AI models (when properly trained and tested) apply the rubric objectively. And, of course, there's always an option to validate AI-produced scores with periodic human review, especially for high-stakes evaluations, to maintain trust and accuracy.
Example:
Shared evaluation criteria combined with AI reduce scoring variation across plants, distribution centers, and field teams. Supervisors sample results to maintain quality and calibration.
assessments and intelligent feedback.
Predictive Analytics for Training Impact and ROI
Linking training efforts to business outcomes has long been a challenge for L&D. Today, AI-driven learning analytics are giving organizations new powers to measure and even predict the impact of training on performance metrics. By analyzing large datasets of learning activities and outcomes, AI can uncover patterns that help prove ROI and improve decision-making.
Advanced Learning Analytics
Traditional training metrics (completion rates, test scores, satisfaction surveys) only tell part of the story. AI allows far deeper analysis by correlating learning data with business data. Organizations are deploying predictive analytics that ingest data from Learning Management Systems, HR systems, and operational KPIs to evaluate how training moves the needle on business goals.
Example:
Advanced analytics link learning activities to metrics such as overall equipment effectiveness, scrap and waste levels, pick accuracy, on‑shelf availability, product returns, and customer satisfaction scores. This reveals which training influences results.
Predicting Training Needs and Outcomes
AI can not only look backward but also predict future training needs and outcomes. AI-driven analytics can even predict which employees might benefit most from certain training, or who might be at risk of low performance without intervention. This predictive capability helps L&D teams prioritize and tailor their initiatives for maximum impact.
Example:
Before seasonal peaks or product launches, predictive models identify teams that may struggle based on performance patterns. The system automatically assigns refreshers to reduce waste and missed opportunities.
Real-Time Dashboards and Reporting
Modern L&D analytics platforms infused with AI provide real-time dashboards that track training effectiveness. These might include sentiment analysis of learner feedback comments, anomaly detection (e.g., identifying if a particular course consistently yields poor post-test results, indicating content issues), and even natural language generation to summarize insights for L&D managers. The goal is to move beyond basic reporting to actionable intelligence.
Example:
Real‑time dashboards display readiness by site and role, highlight modules that learners find challenging, and summarize insights in plain language.
Demonstrating ROI
AI-powered analytics capabilities feed into the bigger mandate of proving the value of training. AI helps by directly linking learning metrics to performance metrics. Companies can now estimate the dollar impact of closing a skill gap or predict how improving a certain skill through training will affect key business outcomes. This elevates L&D’s credibility in the eyes of executives.
Example:
Return on investment is demonstrated by measuring reduced waste, improved overall equipment effectiveness, fewer product returns, and faster onboarding. These metrics support continued investment in the training programs.
can drive your business outcomes.
Food & Beverage CPG
- Reduce waste and hold time with changeover and sanitation drills.
- Improve shelf execution through planogram microlearning.
- Tie training to OEE, spoilage, and on-shelf availability.
Beauty & Personal Care
- Standardize batching and QA with image-based checks.
- Coach field teams on claims-safe product messaging.
- Correlate training to returns and complaint trends.
Household & Cleaning
- Reinforce chemical handling and labeling compliance.
- Reduce damage and leaks via packaging sims.
- Link learning to claims and DC damage rates.
Baby & Wellness
- Elevate quality gates for sensitive categories.
- Empower CX with empathetic role-plays and tips.
- Demonstrate audit readiness with clean records.
Pet Care
- Reduce formulation and packaging errors via microlearning.
- Improve shelf rotation and freshness with simulations.
- Track readiness across plants and DCs in real time.
D2C & eCommerce Brands
- Onboard seasonal labor fast with role-based paths.
- Reduce mis-picks and damage via packing drills.
- Use analytics to link training to returns and CSAT.
Private Label Manufacturers
- Meet retailer audits with consistent, rubric-based checks.
- Localize training for multi-site operations.
- Prove impact via defect and waste reductions.
Distribution & 3PL
- Raise pick accuracy with image-based IDs and scanner workflows.
- Improve OTIF with dock/yard simulations.
- Correlate learning to claims and cycle times.
Field Sales & Merchandising Agencies
- Standardize buyer conversations with role-plays and coaching.
- Execute resets consistently with planogram modules.
- Show coverage and impact with readiness dashboards.
Customer Experience & Contact Centers
- Reduce handle time with assistants and scenario practice.
- Lower escalations via empathy-focused role-plays.
- Tie training to CSAT and repeat-contact rates.