1. Everyone's "algorithm" is different. Even if you could bake every possible filter into your eGrocery product, can you imagine the UX nightmare?
2. The "that I like the most" is a tough thing to quantify. Who is "I"? Me? My wife? My kids? My mom who's coming to visit this weekend? What do I like? Specific brands? Things I've bought before? From that store, or a different one? Things I might like because they share characteristics?
The downside, for the vendor, is that I'd also wind up scripting price-searching at multiple local grocery stores for equivalent items. If I can just curbside pick up what I need at both stores, they're literally next-door to each other.
The irony is that if those two stores were to cooperate and work together on a unified scripting system, both would gain sales on average; yeah, if an ear of corn is 50¢ at Safeway and 75¢ at Raley's, Raley's would lose that sale, but if Raley's happens to also sell mayonnaise for $1 v. Safeway's $1.50, and I can order both at the same time to fruitlessly attempt to satiate my insatiable hunger for elotes, then both would get a sale (and same deal if one or the other is cheaper on the chili powder and/or cotija).
1. Everyone's "algorithm" is different. Even if you could bake every possible filter into your eGrocery product, can you imagine the UX nightmare?
2. The "that I like the most" is a tough thing to quantify. Who is "I"? Me? My wife? My kids? My mom who's coming to visit this weekend? What do I like? Specific brands? Things I've bought before? From that store, or a different one? Things I might like because they share characteristics?