This is easy, right? Just about every RFP platform was built to help you do this with templates, pre-built specs, catalog integration, easy supplier discovery, etc. etc. etc.
Wrong. It makes it super easy to assemble a good RFP IF you have the right platform (and most of the platforms out there are NOT the right platform [for you], as we discussed in our classic series on RFX Creation: Kicking You When You are Down), but that’s it.
And before you ask, Gen-AI does NOT fix the problem. In fact, it makes the situation first. What you really, Really, REALLY need to understand about Gen-AI and these public LLMs, is that, as you’re likely not aware (because every vendor using it tries to convince you otherwise), they DO NOT serve up the best of what’s out there. Moreover, they DO NOT even serve up the average of what’s out there, as some of the vendors who claim to be more “enlightened” would have you believe. They serve up the lowest common denominator response to whatever request you make of them. Let me repeat that. THE LOWEST COMMON DENOMINATOR RESPONSE. It’s critical to remember that no matter what label they slap on the technology, it’s still essentially a re-designed multi-layer neural network (that now disassembles a request, works on parts, and then tries to assemble the parts into a whole vs. taking one input and producing one output from a fixed universe) and these are built on probabilistic models that are trained by weighting the variables in the millions of equations. Guess what weights the variables the most? What there is the most of in the training set. Remembering that these LLMs are trained on the internet (as it’s the largest data source available, even though it still isn’t big enough), guess what there is the most of on the internet? Lowest Common Denominator rubbish!
So anyone who sells you an RFP generator built on the latest Gen-AI to help accelerate and improve your RFPs is lying to you about the quality of the result. You’ll produce the RFP faster, and the English might even be better, but the RFP won’t be. A good RFP requires human intelligence at the core, and unless that’s plugged in, it doesn’t matter what “latest and greatest” AI is applied. (Now, it is possible to use LLMs effectively to speed up RFP construction in the assembly process, but it requires the right design, forethought, and human intelligence backing it up. I’m not seeing a lot of that!)
A good RFP for indirect doesn’t go out asking for a bid on a standard catalog item complete with catalog specifications, because if you need something specific, that’s an RFQ for a new contract, possibly with a new supplier. It goes out asking for products of a certain type to meet a need. For example, if you’re an office supply store looking for a new distributor to restock the best selling brand of Dell laptops, you’re looking for a quote, not a proposal. But if you’re in the business of office setup and furnishing, you’re going out to find a vendor who can provide the basics (chairs, desks, board room tables, panel dividers, etc. in a cohesive, modern style) at the best price point that meets the functionality and style requirement for your clientele. You’re asking them to identify the products you should be considering, and the best prices they can get you based on your expected volumes over the next year.
The key in indirect is to specify virtual item descriptions based on intended use and the problem that needs to be addressed (something to sit on, something to print on, something to do word processing on), not actual products, and let the supplier propose the best products to meet your needs at the best price points they can muster. And, more importantly, to let them propose multiple products where a more expensive product might meet the need better than any peer product or a less expensive product might meet enough of the need that there is no reason for the more expensive product.
This last point is key, but even today only a few RFP platforms support the definition of substitute products in response to an RFP or bid request, forcing the supplier to pick one, and eliminating them from business if the price is too high or the product they choose is not the most appropriate one for the potential customer’s need (which they couldn’t know because the customer never specified how or where the product would be used or who would be using it).
If you remember this key point — virtual items not physical products; the best practice advice of specifying the who, what, where, when, why, and how that we covered in our first entry in this series; and avoid over-relying on lowest common denominator Gen-AI, and instead put your human intelligence first, it’s not hard to write a good RFP for indirect, and if you have a proper platform with templates and a process that walks you through this (and assembles all the standard elements of contact info, organizational Ts and Cs, standard and potential suppliers, etc.), it won’t take long either!