G2

Foote G.

Senior Operations & Supply Chain Manager

Packaging and Containers

Mid-Market (51-1000 emp.)

11/10/2026

"Knowledge Base Training and AI Workflows That Streamline Packaging Client Support"

4.5/5

What do you like best about ChatBot?

I use ChatBot to support our packaging supply chain and client service work at EcoPack Solutions UK, and the feature I value most is its knowledge base training paired with configurable AI agent workflows. I upload our compliance guides, food-contact packaging specs, lead time matrices and sustainability data sheets, so our customers and internal site teams can pull answers anytime without pausing our production supervisors.

The file upload and website sync functionality cuts down my routine enquiry handling significantly. This setup saves me roughly three hours each week that I previously spent repeating answers about LFGB compliance checks, minimum order quantities and recycled material stock availability. I built separate chat paths for pharmaceutical packaging clients, retail brand buyers and our warehouse teams, with tailored response rules for each group.

An unexpected benefit is how it filters simple repetitive tickets before they land on my operations team. Basic questions about delivery lead times or certification document requests get resolved automatically, leaving my supervisors free to focus on urgent supply bottlenecks or quality non-conformity reviews. We embedded this bot on our client portal, and it links through to our shared document library. It also keeps a clean conversation log we can reference during our weekly compliance review meetings, helping us spot recurring client questions we should address in our public guidance packs. Review collected by and hosted on G2.com.

What do you dislike about ChatBot?

My main pain point with ChatBot is its limited granular permission and audit logging, which creates headaches for our UK packaging compliance work. We handle sensitive food and pharma packaging documentation, which falls under LFGB and UK REACH rules, and we need to track exactly which documents the bot accessed and which user pulled regulated specification data. The current logs only record basic chat messages, not the exact source file snippets used to form replies. This forces our quality team to manually verify every regulated response, adding roughly two hours of validation work each week.

I also struggle with its weak conditional logic for multi-stage supply chain queries. Our buyers often ask layered questions combining lead times, material availability and certification validity. The bot frequently fails to connect these data points and gives disjointed answers, so staff still escalate many complex supply questions straight to me.

Another issue is the clunky bulk knowledge-file management. When we update our compliance sheets after regulatory revisions, deleting or replacing outdated files one by one is tedious and error-prone. Outdated guidance can linger in the bot’s memory if I miss a file.

I’d like source-level citation logs for all bot replies, richer multi-variable conditional branching for supply chain questions, and bulk archive/replace controls for knowledge files. These tweaks would make it suitable for regulated packaging client support rather than just simple FAQ handling. Review collected by and hosted on G2.com.

What problems is ChatBot solving and how is that benefiting you?

Before rolling out ChatBot, our operations team was flooded with repetitive inbound enquiries from brand buyers, warehouse leads and clients. We struggled to keep up with constant emails and phone calls asking for packaging lead times, LFGB certification copies, recycled material specs and order status updates, pulling supervisors away from critical production and supply chain troubleshooting.

We struggled with constant low-value enquiries eating up our operations bandwidth, but now we can deploy a trained AI chatbot loaded with our approved spec sheets and compliance documents, which has resulted in roughly 40% fewer routine tickets hitting our supply chain inbox. I configured distinct conversation flows for pharmaceutical packaging customers, food-grade enquiries and internal warehouse teams. The bot instantly shares standard documents, answers stock questions and flags complex issues to the correct team member automatically.

For a typical week, this frees up about 6 hours of collective time for my supervisors, time they now spend resolving supplier delays, conducting quality audits and refining our sustainable packaging sourcing strategy. It does not replace our human oversight for high-risk regulated requests, such as new pharma packaging compliance validation. Still, it creates a first line of support that keeps simple, repeatable requests from clogging our workflow. Clients also get answers outside standard working hours, which has boosted buyer satisfaction while keeping our team focused on the supply chain work that moves our core business forward. Review collected by and hosted on G2.com.

Current UserValidated ReviewerIncentivizedSource: G2 invite