As Co-founders, we had zero clue on the real time stock levels in our warehouse. It felt like a battle to manually update invoices from EasyEcom to Zoho, so that at least some data points can be tracked.
While we had already implemented Crest I had no clue that they could make this API integration work for us and exactly the way we wanted it to work. Thank you team Rahul Vishwakarma & Yogesh Byahatti for identifying the problem and being so quick with the solution, kudos to the amazing team you have.

D2C brands face issues with supply chain management and high growth startups are not equipped to run their demand forecast manually. Crest automates all the workflows and helps brands predict high demand periods and be ready to cater to customer demands. It has a direct impact on the revenue readiness of a company and that's the value we see Crest unlocking for many companies in the future. Rahul and team have built a robust product with years of their experience distilled into the workflows.

Crest has helped us to design, automate and integrate workflows to consolidate demand across the D2C platform and multiple Ecom channels with high accuracy. I think the team's execution speed and customer first thinking sets them apart  in industry.

Before Crest AI, keeping track of our inventory across Unicommerce, Amazon warehouses, and retail stores was a complete headache. We had to manually gather data for every store and city, which took forever. But with Crest AI, everything’s automated, we now get real-time visibility into both past trends and current inventory, hassle-free.

It didn’t stop there. Store space optimization was another challenge, but Crest AI automated it too, helping us maximize space effortlessly.

We have close to 1000 styles, and managing inventory manually was becoming difficult. Crest has really helped us bring down our out-of-stock rate, I’d say by around 20 - 25%. What I liked is that it doesn’t just rely on past sales, but also considers sales events, seasonality, and marketing spends.
Even things like vendor constraints - minimum order quantities or how fabric gets used across sizes, we’re able to factor those in, which makes it a better fit for how we actually work as a clothing brand.