Allodial Predict: How Cold-Calling Helped a SaaS Founder Find Product-Market Fit

During a shift at my part-time job, I was sitting in the back, admiring all of the supplies boxes with company logos on them. I thought to myself that I wanted to have my own logo on a box. So I began designing Allodial Supply Co LLC. It was meant to be a local supplies distributor, where I'd beat prices and continue expanding to many stores nearby. But I needed to differentiate myself and solve a huge problem within the industry. You see, many distributors receive orders from their customers that they can't fulfill because they didn't know they'd order that. So what if, instead of having to suffer from emergency freight costs, I built my own solution, which is when I came up with Allodial Predict. It was meant to be software that only I could use, to predict when my customers would need more supplies so that I never suffered a stockout and my customers were always satisfied. I quickly learned that starting a company alone that acquired supplies, ran software, and had in-house logistics would be too much. So then I decided to focus all in on building Allodial Predict.

One growth tactic that has actually been beneficial for Allodial Predict is simple cold-calling. Though it is not pretty, this has been the only tactic that has generated me conversations and visibility for Allodial Predict. Because I am such a new founder, I began teaching myself how to sell. And not only until recently have I been gaining more confidence to pick up the phone and actually dial. By increasing cold-touch volume, statistics prove that sales can be generated. While we are still looking for first members, I believe cold-calling is the most effective way to bring on initial clientele. A growth tactic that flopped was a weird idea I had at midnight; it was to send potential clients faxes. I sent them one-pagers overviewing benefits. I thought that it must work, but unfortunately, I was not met with any results. I pride myself on failed tactics like these, as they are the only way that I can facilitate real growth both personally and professionally.

Pre-revenue, so no customer complaints exist yet in the traditional sense. The clearest resistance pattern from discovery calls is skepticism that a dedicated tool is needed at all, several owner-operators say their reps already sense when an account is drifting, that gut feel plus a spreadsheet has worked fine for years. This isn't a feature objection, it's a category objection, and it's the most common pushback heard on cold calls. The response has been to reframe the pitch around what gut feel actually misses, accounts that drift gradually across multiple reps, or that fall through the cracks entirely when a rep leaves the company, where no single person notices the pattern until the account is already gone for good. Framing it as catching blind spots rather than replacing intuition has moved several stalled conversations forward, though this is still being tested carefully rather than proven at scale, and it will keep getting refined as more calls happen each week.

Most people assume this market is already served, since ERPs track order history and companies like Proton.ai already sell demand intelligence to distributors. What that misses is scale, those tools are built and priced for larger distributors with dedicated ops or IT staff, not the owner-operated shop with 8 to 75 employees running on Excel and instinct. That segment isn't underserved because the pain is smaller; it's underserved because it's been unprofitable to sell to at scale with tools built for larger accounts. The real competitor for these owners isn't a rival platform; it's a rep's gut feeling and a spreadsheet nobody else ever looks at closely. Some read a funded competitor with existing traction as a sign the space is already closed. It's actually a sign the pain is validated and real, while the smaller end of the market, under roughly seventy-five employees, remains completely uncontested and largely ignored by everyone building purely for scale.

Closing two known product gaps first, alerts grouped by customer account instead of flat, and confirmed outcomes actually triggering downstream actions like restock suggestions. In parallel, building an inventory upload feature that lets distributors self-supply inventory data with configurable tolerance zones, removing dependence on Epicor ISV approval to reach Stage 2 of the roadmap. Longer term, the goal is fully proving Stage 1 with the first Founder-Partner customers before touching anything past that gate, then expanding deliberately from there once the core loop is proven end to end.

117 cold dials logged in a single week, personal record.

My relevant experience came from the food industry, not from building software. I spent time watching my boss order supplies and then wait weeks without the product we desperately needed, seeing firsthand how a single missed reorder could stall an entire operation. I hadn't built a product before this, and I hadn't worked in wholesale distribution specifically. What I had done was talk directly to distributors during market validation, and the same pain kept surfacing unprompted, they suffered when they didn't have what they needed, exactly when they needed it, and no one caught it until it was already a problem. That pattern, heard over and over, is what convinced me the gap was real enough to build for.

The biggest mistake was defaulting to product and infrastructure work whenever momentum stalled, instead of treating low call volume as the actual constraint. The original deadline was missed for that reason, not product quality or positioning. Building CRM automations, dashboards, and roadmap documents felt like progress, but none of it produced a paying customer. The fix was blunt, stop building, start dialing. Going from under 10 calls a week to 117 in a single week produced more real conversations in seven days than the prior month of tooling work did. Call volume was always the bottleneck, everything else was displacement.