Leveling Up Your Back Office
As a young engineer in the 80’s, I was excited when AutoCAD, the drawing software from AutoDesk, became available on personal computers. It meant that I could use an inexpensive computer to do what larger firms did with expensive CAD terminals and a large staff of people. Since then, the world has continued to move toward technology that enables small and medium-sized companies to successfully compete with much larger firms.
AI and data automation are today’s tools that equalize companies. Manufacturers are used to thinking about AI on the shop floor with Industry 4.0 technology, but there are key office functions that have benefited from AI innovation, too. In this article, we'll review AI tools for:
- Customer quoting,
- Accounting, and
- Supply chain.
As you learn about these tools, keep in mind that there are two fundamental ways to approach implementing the right AI tool: buying a standard application and investing in a custom solution (either from scratch or improving upon an existing AI tool). If one of the more off-the-shelf solutions can meet 80% of your need, then that's the right place to start. If a pre-built solution won't fit with your data availability, IT structure, and data needs, you'll need to look into a custom solution.
AI-Enabled Customer Quoting for Manufacturing
Imagine a contract manufacturing or job shop that receives a rush order inquiry from a potential client, complete with a detailed CAD drawing. In the past, the team would spend hours manually reviewing the specs, compiling a bill of materials, estimating labor and material costs, and drafting a quote—often leading to delays that cost them the business or errors that eroded profit margins.
With customer quoting software, the process is semi-automated. The tool scans the uploaded drawing, generates an accurate BOM instantly, factors in current pricing, and produces a professional quote in minutes. This solves the issues of slow turnaround times and human inaccuracies while allowing the shop to respond competitively and win more jobs.
The key to selecting the right tool is to determine which type of solution will best support your requirements. Do you need a tool to help configure or bundle standard components for sale or do you need a tool that can input 3D and PDF drawing files, evaluate current material costs, and identify the best method for producing the product?
| Area of Focus | Complexity Level | Key Strength | Ideal For | Example Tools |
| General Quoting | Low | Fast proposals and tracking | Simple/standard products | PandaDoc, QuoteWerks |
| Manufacturing Estimating | Medium | CAD/geometry-based instant quotes | Job shops, custom parts | Paperless Parts, DigiFabster |
| CPQ (Standard/Visual) | High | Configuration rules and visualization | Configurable/custom products | Epicor CPQ, Tacton, Hive CPQ |
| ERP-Integrated | High | Full quote-to-production flow | Scaled operations with ERP | DELMIAWorks, Sage 100 |
AI-Enabled Accounting Software for Manufacturers
Consider a mid-sized manufacturer juggling dozens of supplier invoices and customer payments each week. Manual data entry often results in overlooked duplicate charges or mismatched inventory records causing costly discrepancies during audits. This not only ties up staff in tedious paperwork, but also delays cash flow and invites financial errors that could harm the bottom line.
AI-powered accounting software addresses these challenges by:
- Automating invoice processing
- Flagging anomalies like duplicates in real-time
- Seamlessly integrating with ERP systems for accurate inventory tracking
- Accelerating bookkeeping tasks
This frees the team to focus on core operations while improving overall financial accuracy and efficiency.
There are a lot of accounting software solutions available, and it’s important to consider three core elements:
- How well a solution can work with your current ERP system and accounting software/processes
- How much of the process it can automate
- The strength of the software developer
| Area of Focus | Example Tools | General Cost Range (per month, approx.) |
| Integrated (AP, AR, Bookkeeping) | BILL, Sage Intacct, Centime, Docyt | $49–$3,000+ (simple ~$49–$400; advanced/multi-entry ~$400–$2,000+) |
| Bookkeeping | Digits, Zeni, Xero, Botkeeper, Docyt | $15–$800+ (basic ~$15–$99; full AI/human ~$299–$799) |
| Accounts Payable (AP) | Vic.ai, Tipalti, BILL, Ramp, Airbase, Stampli, Esker | $49–$500+ (starter tiers ~$49– $99; enterprise/custom are higher) |
| Accounts Receivable (AR) | BILL, Gaviti, HighRadius, Billtrust | $49–$300+ (starter tiers ~$49–$100; often per invoice or custom) |
AI-Enabled Supply Chain Software
Picture a components supplier hit by unexpected raw material shortages during peak season. Outdated manual tracking leads to overstocked warehouses of slow-moving items, and frequent production halts due to missing parts. This turns into frustrated customers and inflated holding costs.
Supply chain software tackles these problems by:
- Providing real-time inventory visibility
- Automating reorder alerts based on demand forecasts
- Optimizing production schedules
- Enabling quick adjustments to supply disruptions
With all these checkpoints, materials flow efficiently from sourcing to delivery, minimizing waste, and helping the business stay agile in a volatile market.
These solutions—ranging from MRP (Material Requirements Planning) and inventory management systems to full ERP platforms with supply chain modules—help manufacturers gain real-time visibility, automate planning, reduce stockouts and excess inventory, improve production scheduling, and respond quickly to customer demand or supply disruptions.
| Area of Focus | Example Tools | General Cost Range (per month, approx.) |
| Supply Chain Visibility and Planning | NetSuite (SCM modules), Epricor SCM, INTUENDI | $99–$1,000+ (starter ~$99–$400; enterprise/customer higher) |
| Manufacturing Resource Planning | MRPeasy, Katana Cloud Inventory, Fishbowl Inventory | $49–$900+ (starter tiers ~$49–$199; advanced ~$399–$899 flat rate) |
| Full ERP / Integrated Supply Chain | Odoo, Cetec ERP, JobBOSS2, SYSPRO | $0–$500+ (open source/free modules; paid ~$50–$400 per user or flat) |
| Inventory Management and Optimization | Netstock, Craftybase, Zoho Inventory, inFlow | $15–$400+ (basic/free tiers ~$0–$99; full features ~$99–$300) |
How to Choose the Right AI Tools for Your Manufacturing Company
With all the options, it can be overwhelming to think about choosing the right one to solve your problem or improve your process. The first step is the same as implementing any new technology: you first have to dig into the problem. As our Technology and Engineering team says often, “Don’t force-fit a technology. Start with the problem. Understand what’s actually broken before you try to fix it.” Then think about risk. The best place to start is a low-risk opportunity where there’s a clear path to implementation and politics won’t get in the way.
As with all new technology, it’s often wise to work with someone who has experience with the new tool. If your organization could benefit from implementing one of these types of tools, MAGNET can help you narrow down your search to find software solutions that will best fit your current and future needs. We’ve made a priority of evaluating current AI and data automation tools so that we can be a resource for connecting you with the right people and tools.
Off-the-Shelf vs. Custom-Built AI Tools
As you consider the options in the tables above, these off-the-shelf solutions might fit your needs, but they might not.
As long as a tool can accomplish about 80% of what you need, that's where you should start. You may need help discerning which one best suits your needs; MAGNET can walk you through that decision. We can also recommend vendors who can take your off-the-shelf tool and customize it to your exact needs.
If you need customization to accomplish your goals, that's a viable option. Rather than trying to find a vendor that delivers quality work for a reasonable price, please call us. We work with multiple vendors that can come in, look at your data, and generate an affordable custom solution that does exactly what you need it to do.
Want more on AI?
MAGNET is hosting a webinar series on AI in manufacturing. Join us for some or all.
Webinar: From Data-Ready to AI-Enabled: What Becomes Possible for Manufacturers
Wednesday, April 29, 12:00 PM
Once your data is clean, connected, and reliable, the real question becomes: what can AI actually do for your manufacturing operations? This webinar with EOX Vantage will give you a clear understanding of:
- What operational AI looks like in practice
- Where it can deliver the greatest impact
- How you can move from “data-ready” to truly AI-enabled
See how manufacturers are applying AI at an organizational level—not just as individual productivity tools, but as capabilities embedded directly into operational workflows. We'll share real-world examples of how AI can improve forecasting, maintenance, production visibility, and decision-making.
You'll get concrete examples of targeted, high-impact use cases that deliver measurable value so you can begin experimenting with AI once your data foundation is in place.
Register for From Data-Ready to AI-Enabled: What Becomes Possible for Manufacturers
Event: AI in Manufacturing Mini Conference
Tuesday, May 19, 8:30 AM - 1:00 PM at MAGNET Headquarters in Cleveland
Featuring speakers from EOX Vantage, Ledge Inc., MAGNET, and NCompas Technology Solutions.
Registration link coming soon.
PAST — Webinar: Simple, Practical Ways to Start Using AI (Plus an AI-Readiness Assessment)
Tuesday, March 3, 12:00 PM
AI is already helping small and medium-sized manufacturers cut costs, boost efficiency, and stay competitive. In Simple, Practical Ways to Start Using AI, we'll break down what AI means for your daily operations and spotlight a few high-impact wins:
- Smart inventory forecasting to free up cash
- Quick process tweaks for energy savings
- Predictive maintenance to spot failures before they happen
- AI-powered quality inspection to catch defects faster
We'll offer realistic strategies to avoid messy data, cost concerns, and team resistance and guide you through a quick self-check scorecard to assess your company's readiness. You'll leave with clear, actionable next steps—free trials, local resources, and pilot ideas. Get motivated and equipped to make your first smart move toward AI-powered gains.
PAST — Webinar: Is Your Data Ready for AI? A Practical Starting Point for Manufacturers
Wednesday, March 11, 12:00 PM
As AI becomes a bigger part of the manufacturing conversation, many organizations are wondering, "Where do we even start?" This session focuses on what AI readiness looks like at a practical level for manufacturers in terms of how data is captured, structured, and shared across everyday operational workflows.
In this beginner-friendly webinar, we’ll:
- Explore how you can improve the way data flows through core processes such as quoting, forecasting, inventory management, production tracking, and quality reporting
- Discuss the importance of data quality, consistency, and visibility
- Detail how you can dramatically improve data efficiency and accuracy to lay the foundation for future AI capabilities
By the end of the session, you'll have a clearer understanding of what “AI readiness” really means in a manufacturing context, where gaps in data and workflows commonly exist, and how improving data capture and visibility today enables more reliable reporting, better decisions, and more advanced automation over time. In Part 2 of the series, we’ll build on these concepts and explore what becomes possible once those fundamentals are in place.
Take Steps Toward Implementing AI in Your Manufacturing Facility
MAGNET is strengthening its practice around how AI tools can be effectively applied within manufacturers’ business operations. Our goal is to provide a framework for identifying how AI can help your business, selecting tools that would be the best fit for your organization, and implementing tools so you can get tangible benefits.
If that sounds like something your team needs, let's start a conversation.

