Solution: Katana’s real-time raw material inventory management provides users with a more accurate view of their supply. Users can program Katana to notify them whenever their company’s raw materials are running low or insufficient in relation to their shipping quota.
Solution: One of the constant issues manufacturing companies face is when their production and sales orders are not in sync. This can result in unprocessed orders and loss of customers. Katana address this concern by aligning the production and sales areas of manufacturing companies with sales order fulfillment function. This informs sales and production about customer orders and if their supply can fulfill it accordingly.
Solution: Forecasting demand is another issue manufacturers often encounter in their daily operations. Relying on spreadsheets might result in erroneous inventory data that can cause disastrous accounting for the company’s available supply. Katana’s auto-booking system allocates available material to the most recent manufacturing orders, so users can effortless see if they have enough resources to complete their operations.
Qrvey is the only solution for embedded analytics with a built-in data lake. Qrvey saves engineering teams time and money with a turnkey solution connecting your data warehouse to your SaaS application.
Qrvey’s full-stack solution includes the necessary components so that your engineering team can build less.
Qrvey’s multi-tenant data lake includes:
Qrvey’s embedded visualizations support everything from: - Standard dashboards and templates - Self-service reporting - User-level personalization - Individual dataset creation - Data-driven workflow automation
Qrvey delivers this as a self-hosted package for cloud environments. This offers the best security as your data never leaves your environment while offering a better analytics experience to users.
The result: Less time and money on analytics.
Qrvey's answer:
Product Leaders that include Product Management and Engineering Teams and CEO/CTO/CPOs of B2B SaaS Companies
Qrvey's answer:
Qrvey takes a different approach to embedded analytics. Instead of focusing almost completely on the front end, we know that any analytics function starts with data.
Qrvey includes a full-featured data lake powered by Elasticsearch, not a basic relational caching layer. Furthermore, by including a data lake, the cost to scale out is much less than traditional data warehouses.
For the user-facing components of the platform, Qrvey offers more embedded components and APIs to personalize the experience beyond static dashboards. Qrvey offers:
All of this is backed by a semantic layer that makes integrating Qrvey into the security model of SaaS applications simple.
Qrvey's answer:
Customers choose Qrvey for the following reasons:
Based on our record, Katana MRP should be more popular than Qrvey. It has been mentiond 5 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
If you're small and using Shopify, it makes sense to look at ERP/MRP systems that bolt right onto Shopify. Katana is a great easy to use one, and it integrates with all the tools you mention above. https://katanamrp.com/. Source: about 1 year ago
For small / medium size businesses, Katana is a good web based option, but would need more details before recommending something more specific. Source: over 1 year ago
Full disclosure, I work for this company, but check out https://katanamrp.com/. Source: over 1 year ago
Maybe you can look into a manufacturing & inventory management tool like Katana? If you use Quickbooks or Xero for bookkeeping then they integrate directly with those. Source: almost 2 years ago
Sounds like you're looking for an MRP (materials requirements planning) more than an ERP. There are a bunch of options in that space, but take a look at MRPeasy and Katana MRP. Source: about 2 years ago
Since you're on AWS already, check out https://qrvey.com. Source: 6 months ago
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